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		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2619</id>
		<title>VisLunch/Fall2009</title>
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		<updated>2010-02-01T04:22:59Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== December 11, 2009 ==&lt;br /&gt;
- '''Photo-based Industrial Augmented Reality Registration And Navigation Methods''' &lt;br /&gt;
&lt;br /&gt;
This talk will briefly introduce an industrial project for discrepancy&lt;br /&gt;
check using augmented reality. Construction companies employ CAD&lt;br /&gt;
software during the planning phase. Unfortunately what is finally&lt;br /&gt;
built often does not match the original plan. The procedure of&lt;br /&gt;
validating the model is called &amp;quot;discrepancy check&amp;quot;. The system&lt;br /&gt;
proposed here allows the user to easily obtain an augmentation in&lt;br /&gt;
order to find differences between the planned 3D model and the built&lt;br /&gt;
items. The main difference to previous body of work in this field is&lt;br /&gt;
the emphasis on usability and acceptance of the solution. We will&lt;br /&gt;
demonstrates some user interaction techniques that ease the navigation&lt;br /&gt;
in the augmented CAD documentation and briefly present the different&lt;br /&gt;
algorithms developed to registered still images to a CAD coordinates&lt;br /&gt;
systems.  The talk will also describe a registration approach based on&lt;br /&gt;
keyframe. Registration is at the core of every photo-based AR software&lt;br /&gt;
such as ours. This alignment of the image to the 3D model coordinate&lt;br /&gt;
system is usually achieved with fiducial markers. When a single&lt;br /&gt;
keyframe is used, the unknown baseline length has to be estimated in&lt;br /&gt;
order to superimpose virtual models onto the image. In this present, I&lt;br /&gt;
will present an automatic algorithm to augment the relative pose,&lt;br /&gt;
estimated using a single keyframe, into a full pose that will permit&lt;br /&gt;
superimposition.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Pierre Georgel (Technical University of Munich), http://campar.in.tum.de/Main/PierreGeorgel&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday 10am (12/11)&lt;br /&gt;
&lt;br /&gt;
== November 20, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/20)&lt;br /&gt;
&lt;br /&gt;
== November 13, 2009 ==&lt;br /&gt;
- '''Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data''' &lt;br /&gt;
&lt;br /&gt;
Scientists are increasingly using &amp;quot;ensemble data sets&amp;quot;&lt;br /&gt;
to explore relationships present in dynamic systems.  Ensemble data&lt;br /&gt;
sets combine spatio-temporal simulation results generated using&lt;br /&gt;
multiple numerical models, sampled input conditions and perturbed&lt;br /&gt;
parameters.  While ensemble data sets are a powerful tool for&lt;br /&gt;
mitigating uncertainty, they pose significant visualization and&lt;br /&gt;
analysis challenges due to their complexity.  We present&lt;br /&gt;
&amp;quot;Ensemble-Vis&amp;quot;, a framework consisting of a collection of overview&lt;br /&gt;
and statistical displays linked through a high level of interactivity&lt;br /&gt;
for gaining key scientific insight into the distribution of the&lt;br /&gt;
simulation results as well as the uncertainty associated with the&lt;br /&gt;
data.  In contrast to methods that present large amounts of diverse&lt;br /&gt;
information in a single display, we argue that combining multiple&lt;br /&gt;
linked statistical displays yields a clearer presentation of the data&lt;br /&gt;
and facilitates a greater level of visual data analysis.  We&lt;br /&gt;
demonstrate this approach using driving problems from climate modeling&lt;br /&gt;
and meteorology and discuss generalizations to other fields.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Kristi Potter (SCI), http://www.sci.utah.edu/~kpotter/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/13)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny at sci dot utah dot edu, aggyulassy at ucdavis dot edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2192</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2192"/>
		<updated>2009-12-11T14:23:45Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* December 11, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== December 11, 2009 ==&lt;br /&gt;
- '''Photo-based Industrial Augmented Reality Registration And Navigation Methods''' &lt;br /&gt;
&lt;br /&gt;
This talk will briefly introduce an industrial project for discrepancy&lt;br /&gt;
check using augmented reality. Construction companies employ CAD&lt;br /&gt;
software during the planning phase. Unfortunately what is finally&lt;br /&gt;
built often does not match the original plan. The procedure of&lt;br /&gt;
validating the model is called &amp;quot;discrepancy check&amp;quot;. The system&lt;br /&gt;
proposed here allows the user to easily obtain an augmentation in&lt;br /&gt;
order to find differences between the planned 3D model and the built&lt;br /&gt;
items. The main difference to previous body of work in this field is&lt;br /&gt;
the emphasis on usability and acceptance of the solution. We will&lt;br /&gt;
demonstrates some user interaction techniques that ease the navigation&lt;br /&gt;
in the augmented CAD documentation and briefly present the different&lt;br /&gt;
algorithms developed to registered still images to a CAD coordinates&lt;br /&gt;
systems.  The talk will also describe a registration approach based on&lt;br /&gt;
keyframe. Registration is at the core of every photo-based AR software&lt;br /&gt;
such as ours. This alignment of the image to the 3D model coordinate&lt;br /&gt;
system is usually achieved with fiducial markers. When a single&lt;br /&gt;
keyframe is used, the unknown baseline length has to be estimated in&lt;br /&gt;
order to superimpose virtual models onto the image. In this present, I&lt;br /&gt;
will present an automatic algorithm to augment the relative pose,&lt;br /&gt;
estimated using a single keyframe, into a full pose that will permit&lt;br /&gt;
superimposition.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Pierre Georgel (Technical University of Munich), http://campar.in.tum.de/Main/PierreGeorgel&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday 10am (12/11)&lt;br /&gt;
&lt;br /&gt;
== November 20, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/20)&lt;br /&gt;
&lt;br /&gt;
== November 13, 2009 ==&lt;br /&gt;
- '''Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data''' &lt;br /&gt;
&lt;br /&gt;
Scientists are increasingly using &amp;quot;ensemble data sets&amp;quot;&lt;br /&gt;
to explore relationships present in dynamic systems.  Ensemble data&lt;br /&gt;
sets combine spatio-temporal simulation results generated using&lt;br /&gt;
multiple numerical models, sampled input conditions and perturbed&lt;br /&gt;
parameters.  While ensemble data sets are a powerful tool for&lt;br /&gt;
mitigating uncertainty, they pose significant visualization and&lt;br /&gt;
analysis challenges due to their complexity.  We present&lt;br /&gt;
&amp;quot;Ensemble-Vis&amp;quot;, a framework consisting of a collection of overview&lt;br /&gt;
and statistical displays linked through a high level of interactivity&lt;br /&gt;
for gaining key scientific insight into the distribution of the&lt;br /&gt;
simulation results as well as the uncertainty associated with the&lt;br /&gt;
data.  In contrast to methods that present large amounts of diverse&lt;br /&gt;
information in a single display, we argue that combining multiple&lt;br /&gt;
linked statistical displays yields a clearer presentation of the data&lt;br /&gt;
and facilitates a greater level of visual data analysis.  We&lt;br /&gt;
demonstrate this approach using driving problems from climate modeling&lt;br /&gt;
and meteorology and discuss generalizations to other fields.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Kristi Potter (SCI), http://www.sci.utah.edu/~kpotter/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/13)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2191</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2191"/>
		<updated>2009-12-08T16:25:36Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== December 11, 2009 ==&lt;br /&gt;
- '''Photo-based Industrial Augmented Reality Registration And Navigation Methods''' &lt;br /&gt;
&lt;br /&gt;
This talk will briefly introduce an industrial project for discrepancy&lt;br /&gt;
check using augmented reality. Construction companies employ CAD&lt;br /&gt;
software during the planning phase. Unfortunately what is finally&lt;br /&gt;
built often does not match the original plan. The procedure of&lt;br /&gt;
validating the model is called &amp;quot;discrepancy check&amp;quot;. The system&lt;br /&gt;
proposed here allows the user to easily obtain an augmentation in&lt;br /&gt;
order to find differences between the planned 3D model and the built&lt;br /&gt;
items. The main difference to previous body of work in this field is&lt;br /&gt;
the emphasis on usability and acceptance of the solution. We will&lt;br /&gt;
demonstrates some user interaction techniques that ease the navigation&lt;br /&gt;
in the augmented CAD documentation and briefly present the different&lt;br /&gt;
algorithms developed to registered still images to a CAD coordinates&lt;br /&gt;
systems.  The talk will also describe a registration approach based on&lt;br /&gt;
keyframe. Registration is at the core of every photo-based AR software&lt;br /&gt;
such as ours. This alignment of the image to the 3D model coordinate&lt;br /&gt;
system is usually achieved with fiducial markers. When a single&lt;br /&gt;
keyframe is used, the unknown baseline length has to be estimated in&lt;br /&gt;
order to superimpose virtual models onto the image. In this present, I&lt;br /&gt;
will present an automatic algorithm to augment the relative pose,&lt;br /&gt;
estimated using a single keyframe, into a full pose that will permit&lt;br /&gt;
superimposition.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Pierre Georgel (Technical University of Munich), http://campar.in.tum.de/Main/PierreGeorgel&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (12/11)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== November 20, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/20)&lt;br /&gt;
&lt;br /&gt;
== November 13, 2009 ==&lt;br /&gt;
- '''Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data''' &lt;br /&gt;
&lt;br /&gt;
Scientists are increasingly using &amp;quot;ensemble data sets&amp;quot;&lt;br /&gt;
to explore relationships present in dynamic systems.  Ensemble data&lt;br /&gt;
sets combine spatio-temporal simulation results generated using&lt;br /&gt;
multiple numerical models, sampled input conditions and perturbed&lt;br /&gt;
parameters.  While ensemble data sets are a powerful tool for&lt;br /&gt;
mitigating uncertainty, they pose significant visualization and&lt;br /&gt;
analysis challenges due to their complexity.  We present&lt;br /&gt;
&amp;quot;Ensemble-Vis&amp;quot;, a framework consisting of a collection of overview&lt;br /&gt;
and statistical displays linked through a high level of interactivity&lt;br /&gt;
for gaining key scientific insight into the distribution of the&lt;br /&gt;
simulation results as well as the uncertainty associated with the&lt;br /&gt;
data.  In contrast to methods that present large amounts of diverse&lt;br /&gt;
information in a single display, we argue that combining multiple&lt;br /&gt;
linked statistical displays yields a clearer presentation of the data&lt;br /&gt;
and facilitates a greater level of visual data analysis.  We&lt;br /&gt;
demonstrate this approach using driving problems from climate modeling&lt;br /&gt;
and meteorology and discuss generalizations to other fields.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Kristi Potter (SCI), http://www.sci.utah.edu/~kpotter/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/13)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2185</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2185"/>
		<updated>2009-11-12T15:20:26Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 13, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 20, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/20)&lt;br /&gt;
&lt;br /&gt;
== November 13, 2009 ==&lt;br /&gt;
- '''Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data''' &lt;br /&gt;
&lt;br /&gt;
Scientists are increasingly using &amp;quot;ensemble data sets&amp;quot;&lt;br /&gt;
to explore relationships present in dynamic systems.  Ensemble data&lt;br /&gt;
sets combine spatio-temporal simulation results generated using&lt;br /&gt;
multiple numerical models, sampled input conditions and perturbed&lt;br /&gt;
parameters.  While ensemble data sets are a powerful tool for&lt;br /&gt;
mitigating uncertainty, they pose significant visualization and&lt;br /&gt;
analysis challenges due to their complexity.  We present&lt;br /&gt;
&amp;quot;Ensemble-Vis&amp;quot;, a framework consisting of a collection of overview&lt;br /&gt;
and statistical displays linked through a high level of interactivity&lt;br /&gt;
for gaining key scientific insight into the distribution of the&lt;br /&gt;
simulation results as well as the uncertainty associated with the&lt;br /&gt;
data.  In contrast to methods that present large amounts of diverse&lt;br /&gt;
information in a single display, we argue that combining multiple&lt;br /&gt;
linked statistical displays yields a clearer presentation of the data&lt;br /&gt;
and facilitates a greater level of visual data analysis.  We&lt;br /&gt;
demonstrate this approach using driving problems from climate modeling&lt;br /&gt;
and meteorology and discuss generalizations to other fields.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Kristi Potter (SCI), http://www.sci.utah.edu/~kpotter/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/13)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2184</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2184"/>
		<updated>2009-11-12T15:20:06Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 6, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 20, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/20)&lt;br /&gt;
&lt;br /&gt;
== November 13, 2009 ==&lt;br /&gt;
- '''DEnsemble-Vis: A Framework for the Statistical Visualization of Ensemble Data''' &lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Kristi Potter (SCI), http://www.sci.utah.edu/~kpotter/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/13)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2181</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2181"/>
		<updated>2009-11-05T15:36:58Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 6, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 20, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/20)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2180</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2180"/>
		<updated>2009-11-05T15:36:45Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 6, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 20, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/20)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2179</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2179"/>
		<updated>2009-11-05T15:36:15Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 30, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2178</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2178"/>
		<updated>2009-11-05T15:36:03Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 6, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 6, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2153</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2153"/>
		<updated>2009-10-29T14:47:09Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 6, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 6, 2009 ==&lt;br /&gt;
- '''Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Dave Koop (SCI), http://www.sci.utah.edu/people/dakoop.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2152</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2152"/>
		<updated>2009-10-29T14:43:59Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 6, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 6, 2009 ==&lt;br /&gt;
- '''A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Blake Nelson (SCI), https://www.sci.utah.edu/people/bnelson.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2151</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2151"/>
		<updated>2009-10-29T14:38:15Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 30, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Exploring the Millennium Run - Scalable Rendering of Large-Scale Cosmological Datasets''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Linh Ha (SCI), http://www.cs.utah.edu/~lha/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2128</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2128"/>
		<updated>2009-10-25T21:42:53Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* November 6, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 6, 2009 ==&lt;br /&gt;
- '''Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2127</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2127"/>
		<updated>2009-10-25T21:42:42Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 30, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== November 6, 2009 ==&lt;br /&gt;
- '''tructuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Evrard Ohou (SCI), http://www.sci.utah.edu/people/eohou.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (11/06)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2126</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2126"/>
		<updated>2009-10-25T21:40:15Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 30, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 30, 2009 ==&lt;br /&gt;
- '''Depth Dependent Halos''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Mark Kim (SCI), http://www.cs.utah.edu/~mbk/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2125</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2125"/>
		<updated>2009-10-25T21:39:10Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 9, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 30, 2009 ==&lt;br /&gt;
- '''Volume Ray Casting with Peak Finding and Differential Sampling''' (VIS paper discussion)&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Carson Brownlee (SCI), http://www.cs.utah.edu/~brownlee/grapes/Welcome.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/30)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2115</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2115"/>
		<updated>2009-09-15T17:19:28Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* September 18, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2114</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2114"/>
		<updated>2009-09-15T17:19:19Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* September 18, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''Stratified representation scheme for subsurface modeling (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
The steps involved in oil reservoir modeling are similar to the traditional scientific pipeline: &amp;lt;br/&amp;gt;&lt;br /&gt;
a model has to be updated each time new data comes in; afterwards, the new model is used for simulations&amp;lt;br/&amp;gt;&lt;br /&gt;
which in turn help scientists with the decision-making process. Current tools cannot easily handle&amp;lt;br/&amp;gt;&lt;br /&gt;
model updates due to limitations of the underlying framework – often the model must be rebuilt from scratch. &amp;lt;br/&amp;gt;&lt;br /&gt;
In this talk we will present a flexible framework for domain decomposition and surface manipulation.&amp;lt;br/&amp;gt;&lt;br /&gt;
 During last summer, we have built a prototype of a modeling tool based on this flexible framework&amp;lt;br/&amp;gt;&lt;br /&gt;
 providing a few key functionalities for geologists and geophysicist to perform surfaces updates.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Tiago Etienne Queiroz (SCI), http://www.sci.utah.edu/~etiene/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2111</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2111"/>
		<updated>2009-09-14T16:31:10Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* September 11, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 18, 2009 ==&lt;br /&gt;
- '''First steps towards quantifying confidence (Summer internship)'''&lt;br /&gt;
&lt;br /&gt;
Whenever a decision is made, circuitry of the brain is engaged based on &amp;lt;br/&amp;gt;&lt;br /&gt;
the difficulty of the task at hand.  By carefully monitoring the neural &amp;lt;br/&amp;gt; &lt;br /&gt;
circuit responsible for error detection and handling, we have shown the  &amp;lt;br/&amp;gt;&lt;br /&gt;
ability to determine whether the response given is correct or  &amp;lt;br/&amp;gt;&lt;br /&gt;
incorrect.  However, preliminary results indicate that based on the  &amp;lt;br/&amp;gt;&lt;br /&gt;
spectral dynamics generated by the brain circuit involved, an objective  &amp;lt;br/&amp;gt;&lt;br /&gt;
measure of a person's confidence in their answer can be derived.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Erik Anderson (SCI), http://www.sci.utah.edu/~eranders/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/18)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2110</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2110"/>
		<updated>2009-09-14T15:44:02Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 9, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),  http://www.sci.utah.edu/~jtierny&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2109</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2109"/>
		<updated>2009-09-14T15:43:20Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 9, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== October 9, 2009 ==&lt;br /&gt;
- '''Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced To Contour Trees (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric &amp;lt;br/&amp;gt;&lt;br /&gt;
mesh M in R^3. We introduce a procedure called loop surgery that transforms M into a mesh M' by a sequence of cuts and guarantees &amp;lt;br/&amp;gt;&lt;br /&gt;
the Reeb graph of f (M') to be loop free. Therefore, loop surgery reduces Reeb graph computation to the simpler problem of &amp;lt;br/&amp;gt;&lt;br /&gt;
computing a contour tree, for which well-known algorithms exist that are theoretically efficient (O(n log n)) and fast in practice. &amp;lt;br/&amp;gt;&lt;br /&gt;
Inverse cuts reconstruct the loops removed at the beginning.&amp;lt;br/&amp;gt;&lt;br /&gt;
The time complexity of our algorithm is that of a contour tree computation plus a loop surgery overhead, which depends on the&amp;lt;br/&amp;gt;&lt;br /&gt;
number of handles of the mesh. Our systematic experiments conﬁrm that for real-life volumetric data, this overhead is comparable&amp;lt;br/&amp;gt;&lt;br /&gt;
to the computation of the contour tree, demonstrating virtually linear scalability on meshes ranging from 70 thousand to 3.5 million&amp;lt;br/&amp;gt;&lt;br /&gt;
tetrahedra. Performance numbers show that our algorithm, although restricted to volumetric data, has an average speedup factor of&amp;lt;br/&amp;gt;&lt;br /&gt;
6,500 over the previous fastest techniques, handling larger and more complex data-sets.&amp;lt;br/&amp;gt;&lt;br /&gt;
We demonstrate the versatility of our approach by extending fast topologically clean isosurface extraction to non-simply connected&amp;lt;br/&amp;gt;&lt;br /&gt;
domains. We apply this technique in the context of pressure analysis for mechanical design. In this case, our technique produces&amp;lt;br/&amp;gt;&lt;br /&gt;
results in matter of seconds even for the largest models. For the same models, previous Reeb graph techniques do not produce a&amp;lt;br/&amp;gt;&lt;br /&gt;
result.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Julien Tierny (SCI),&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2108</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2108"/>
		<updated>2009-09-14T15:39:30Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 9, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2107</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2107"/>
		<updated>2009-09-14T15:39:11Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 2, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 9, 2009 ==&lt;br /&gt;
- '''An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research&lt;br /&gt;
 (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
Confocal microscopy is widely used in neurobiology for studying the  &amp;lt;br/&amp;gt;&lt;br /&gt;
three-dimensional structure of the nervous system. &amp;lt;br/&amp;gt;&lt;br /&gt;
Confocal image data are often multi-channel, with each channel resulting  &amp;lt;br/&amp;gt;&lt;br /&gt;
from a different fluorescent dye or fluorescent protein; one channel may  &amp;lt;br/&amp;gt;&lt;br /&gt;
have dense data, while another has sparse; and there are often structures at  &amp;lt;br/&amp;gt;&lt;br /&gt;
several spatial scales: subneuronal domains, neurons, and large groups of  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurons (brain regions). Even qualitative analysis can therefore require  &amp;lt;br/&amp;gt;&lt;br /&gt;
visualization using techniques and parameters fine-tuned to a particular  &amp;lt;br/&amp;gt;&lt;br /&gt;
dataset. Despite the plethora of volume rendering techniques that have been  &amp;lt;br/&amp;gt;&lt;br /&gt;
available for many years, the techniques standardly used in neurobiological  &amp;lt;br/&amp;gt;&lt;br /&gt;
research are somewhat rudimentary, such as looking at image slices or  &amp;lt;br/&amp;gt;&lt;br /&gt;
maximal intensity projections. Thus there is a real demand from  &amp;lt;br/&amp;gt;&lt;br /&gt;
neurobiologists, and biologists in general, for a flexible visualization  &amp;lt;br/&amp;gt;&lt;br /&gt;
tool that allows interactive visualization of multi-channel confocal data,  &amp;lt;br/&amp;gt;&lt;br /&gt;
with rapid fine-tuning of parameters to reveal the three-dimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
relationships of structures of interest. Together with neurobiologists, we  &amp;lt;br/&amp;gt;&lt;br /&gt;
have designed such a tool, choosing visualization methods to suit the  &amp;lt;br/&amp;gt;&lt;br /&gt;
characteristics of confocal data and a typical biologist's workflow. We use  &amp;lt;br/&amp;gt;&lt;br /&gt;
interactive volume rendering with intuitive settings for multidimensional  &amp;lt;br/&amp;gt;&lt;br /&gt;
transfer functions, multiple render modes and multi-views for multi-channel  &amp;lt;br/&amp;gt;&lt;br /&gt;
volume data, and embedding of polygon data into volume data for rendering  &amp;lt;br/&amp;gt;&lt;br /&gt;
and editing. As an example, we apply this tool to visualize confocal  &amp;lt;br/&amp;gt;&lt;br /&gt;
microscopy datasets of the developing zebrafish visual system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Yong Wan (SCI), http://www.sci.utah.edu/people/wanyong.html&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/09)&lt;br /&gt;
&lt;br /&gt;
== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2106</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2106"/>
		<updated>2009-09-13T21:39:48Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* October 2, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2105</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2105"/>
		<updated>2009-09-13T21:39:35Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* September 11, 2009 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== October 2, 2009 ==&lt;br /&gt;
- '''VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS practice talk)'''&lt;br /&gt;
- ''Authors:'' Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, and Claudio T. Silva&lt;br /&gt;
&lt;br /&gt;
Visualization is essential for understanding the increasing &amp;lt;br/&amp;gt;&lt;br /&gt;
volumes of digital data. However, the process required to create&amp;lt;br/&amp;gt;&lt;br /&gt;
insightful visualizations is involved and time consuming. Although  &amp;lt;br/&amp;gt;&lt;br /&gt;
several visualization tools are available, including tools with&amp;lt;br/&amp;gt;&lt;br /&gt;
sophisticated visual interfaces, they are out of reach for users who&amp;lt;br/&amp;gt;&lt;br /&gt;
have little or no knowledge of visualization techniques and/or who&amp;lt;br/&amp;gt;&lt;br /&gt;
do not have programming expertise. In this paper, we propose&amp;lt;br/&amp;gt;&lt;br /&gt;
VisMashup, a new framework for streamlining the creation of&amp;lt;br/&amp;gt;&lt;br /&gt;
customized visualization applications.  Because these applications&amp;lt;br/&amp;gt;&lt;br /&gt;
can be customized for very specific tasks, they can hide much of the&amp;lt;br/&amp;gt;&lt;br /&gt;
complexity in a visualization specification and make it easier for&amp;lt;br/&amp;gt;&lt;br /&gt;
users to explore visualizations by manipulating a small set of&amp;lt;br/&amp;gt;&lt;br /&gt;
parameters. We describe the framework and how it supports the&amp;lt;br/&amp;gt;&lt;br /&gt;
various tasks a designer needs to carry out to develop an&amp;lt;br/&amp;gt;&lt;br /&gt;
application, from mining and exploring a set of visualization&amp;lt;br/&amp;gt;&lt;br /&gt;
specifications (pipelines), to the creation of simplified views of&amp;lt;br/&amp;gt;&lt;br /&gt;
the pipelines, and the automatic generation of the application and&amp;lt;br/&amp;gt;&lt;br /&gt;
its interface.  We also describe the implementation of the system&amp;lt;br/&amp;gt;&lt;br /&gt;
and demonstrate its use in two real application scenarios.&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Emanuele Santos (SCI), http://www.sci.utah.edu/~emanuele/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (10/02)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2104</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2104"/>
		<updated>2009-09-13T21:35:13Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== September 11, 2009 ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== September 4, 2009 ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2099</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2099"/>
		<updated>2009-09-03T00:58:35Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next next friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next friday ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Coming up next next friday ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2098</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2098"/>
		<updated>2009-09-03T00:58:21Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next next friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next next friday ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
The Delaunay triangulation is used extensively for representing geometric &amp;lt;br/&amp;gt;&lt;br /&gt;
domains.  In this talk, I consider the use of the Delaunay triangulation for &amp;lt;br/&amp;gt;&lt;br /&gt;
approximating two different domains.  First, I present an algorithm, DelIso, &amp;lt;br/&amp;gt;&lt;br /&gt;
for building Delaunay meshes to approximate smooth surfaces defined by the &amp;lt;br/&amp;gt;&lt;br /&gt;
isosurfaces of volume datasets.  DelIso employs a two stage algorithm which &amp;lt;br/&amp;gt;&lt;br /&gt;
discards the need to maintain the full 3D Delaunay triangulation in the second &amp;lt;br/&amp;gt;&lt;br /&gt;
stage. Implementation results have shown that by using this optimization we &amp;lt;br/&amp;gt;&lt;br /&gt;
can obtain a 2-3 times speedup over its one stage counterpart.&lt;br /&gt;
&lt;br /&gt;
The second domain investigated is piecewise smooth complexes (PSCs). One of &amp;lt;br/&amp;gt;&lt;br /&gt;
the limitations of past meshing algorithms is that they could only be applied &amp;lt;br/&amp;gt;&lt;br /&gt;
to either smooth surfaces or polyhedral domains.  PSCs are a more general &amp;lt;br/&amp;gt;&lt;br /&gt;
class where the shape is modeled as a collection of smooth patches that can &amp;lt;br/&amp;gt;&lt;br /&gt;
meet sharp corners as well as non-manifolds.  We have designed DelPSC, an &amp;lt;br/&amp;gt;&lt;br /&gt;
algorithm to build Delaunay meshes that approximate PSCs.  DelPSC was designed&amp;lt;br/&amp;gt; &lt;br /&gt;
to be easily implementable, removing the need for many of the expensive &amp;lt;br/&amp;gt;&lt;br /&gt;
computations that previously made Delaunay meshing for PSCs impractical.  Its &amp;lt;br/&amp;gt;&lt;br /&gt;
meshing strategy employs a novel protection scheme to preserve sharp features &amp;lt;br/&amp;gt;&lt;br /&gt;
throughout the refinement.  We can also guarantee that by reducing a single &amp;lt;br/&amp;gt;&lt;br /&gt;
scale parameter, the correct topology is achieved for the output mesh. The &amp;lt;br/&amp;gt;&lt;br /&gt;
approach used in DelPSC allows for meshing a wide variety of objects such as &amp;lt;br/&amp;gt;&lt;br /&gt;
non-smooth CAD parts and non-manifold objects.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Coming up next next friday ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2097</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2097"/>
		<updated>2009-09-03T00:57:28Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next next friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next next friday ==&lt;br /&gt;
- '''Delaunay Methods for Approximating Geometric Domains'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Joshua A. Levine (Ohio State University), http://www.cse.ohio-state.edu/~levinej/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Coming up next next friday ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/11)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2096</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2096"/>
		<updated>2009-09-03T00:55:09Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next next friday ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2092</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2092"/>
		<updated>2009-08-30T18:55:21Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next friday ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2091</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2091"/>
		<updated>2009-08-30T18:49:28Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next friday ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Vector fields arise widely in various &amp;lt;br/&amp;gt;&lt;br /&gt;
engineering applications. Topological analysis extracts &amp;lt;br/&amp;gt;&lt;br /&gt;
the qualitative information (i.e. structure) of a provided &amp;lt;br/&amp;gt;&lt;br /&gt;
vector field. The topology of a vector field consists of a &amp;lt;br/&amp;gt;&lt;br /&gt;
set of features of interest and their connectivity which &amp;lt;br/&amp;gt;&lt;br /&gt;
forms a graph called topological graph. This graph &amp;lt;br/&amp;gt;&lt;br /&gt;
segments the data domain into a number of sub-regions in&amp;lt;br/&amp;gt; &lt;br /&gt;
each of which the flow behavior possesses the same nature. &amp;lt;br/&amp;gt;&lt;br /&gt;
Therefore, topological analysis provides an efficient &amp;lt;br/&amp;gt;&lt;br /&gt;
means for the engineers to investigate the behaviors of &amp;lt;br/&amp;gt;&lt;br /&gt;
their data. In this talk, I will focus on the topology of &amp;lt;br/&amp;gt;&lt;br /&gt;
2D steady vector fields which is well defined. I will &amp;lt;br/&amp;gt;&lt;br /&gt;
briefly explain why engineers are interested in certain &amp;lt;br/&amp;gt;&lt;br /&gt;
features in 2D steday vector fields. Also, I will review &amp;lt;br/&amp;gt;&lt;br /&gt;
some techniques of extracting these features and &amp;lt;br/&amp;gt;&lt;br /&gt;
constructing the topological graphs with the focus on my &amp;lt;br/&amp;gt;&lt;br /&gt;
PhD work including ECG and MCG computation. To learn more &amp;lt;br/&amp;gt;&lt;br /&gt;
about what they are, please come to the talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://oregonstate.edu/~cheng/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (09/04)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2090</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2090"/>
		<updated>2009-08-30T18:48:03Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next Friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next friday ==&lt;br /&gt;
- '''Topological Analysis of 2D Steady Vector Fields'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Guoning Chen (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== August 28, 2009 ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2086</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2086"/>
		<updated>2009-08-26T15:23:31Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter of an accepted VIS paper, please let &amp;lt;br/&amp;gt; &lt;br /&gt;
us know and we'll schedule a session for you so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2085</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2085"/>
		<updated>2009-08-26T15:22:40Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! &lt;br /&gt;
&lt;br /&gt;
If you're the presenter&amp;lt;br/&amp;gt;&lt;br /&gt;
of an accepted VIS paper, please let us know and we'll schedule a session for you &amp;lt;br/&amp;gt;&lt;br /&gt;
so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2084</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2084"/>
		<updated>2009-08-26T15:22:19Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- '''IEEE VIS talks'''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! If you're the presenter&amp;lt;br/&amp;gt;&lt;br /&gt;
of an accepted VIS paper, please let us know and we'll schedule a session for you &amp;lt;br/&amp;gt;&lt;br /&gt;
so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2083</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2083"/>
		<updated>2009-08-26T15:22:03Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- ''VIS talks''&lt;br /&gt;
&lt;br /&gt;
Wow! SCI rocked once again at IEEE VIS this year! If you're the presenter&amp;lt;br/&amp;gt;&lt;br /&gt;
of an accepted VIS paper, please let us know and we'll schedule a session for you &amp;lt;br/&amp;gt;&lt;br /&gt;
so you can practice your talk.&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2082</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2082"/>
		<updated>2009-08-26T15:19:35Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2081</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2081"/>
		<updated>2009-08-26T14:50:25Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2080</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2080"/>
		<updated>2009-08-26T14:50:14Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2079</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2079"/>
		<updated>2009-08-26T14:50:05Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
- '''Summer Internships'''&lt;br /&gt;
Hurrah! It's back to school time!&lt;br /&gt;
PhD. Students are strongly invited to schedule a VisLunch talk (~ 30 minutes)&amp;lt;br/&amp;gt;&lt;br /&gt;
to present the work they accomplished during their summer internship.&lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2078</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2078"/>
		<updated>2009-08-26T14:45:25Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
A common practice for VisLunch is to use some of its &amp;lt;br/&amp;gt;&lt;br /&gt;
sessions as a mean to let people know about the work &amp;lt;br/&amp;gt;&lt;br /&gt;
of the new people around: new faculties, new post docs, &amp;lt;br/&amp;gt;&lt;br /&gt;
new PhD. students . As there are lots of new faces &amp;lt;br/&amp;gt;&lt;br /&gt;
around, we hope to schedule some of these presentations &amp;lt;br/&amp;gt;&lt;br /&gt;
in this session.&lt;br /&gt;
&lt;br /&gt;
With &lt;br /&gt;
&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible &amp;lt;br/&amp;gt;&lt;br /&gt;
for organizing the VisLunch sessions. Please feel free to contact them &amp;lt;br/&amp;gt;&lt;br /&gt;
for any question regarding VisLunch or for scheduling a talk:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2077</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2077"/>
		<updated>2009-08-26T14:42:38Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible for organizing the VisLunch sessions. Here are their contact &lt;br /&gt;
informations:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;br /&gt;
&lt;br /&gt;
Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2009)&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2076</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2076"/>
		<updated>2009-08-26T14:41:17Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next Friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar &amp;lt;br/&amp;gt;&lt;br /&gt;
functions, for example, for automatic feature detection and &amp;lt;br/&amp;gt;&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the &amp;lt;br/&amp;gt;&lt;br /&gt;
various software solutions we are developing to solve data analysis &amp;lt;br/&amp;gt;&lt;br /&gt;
and visualization problems. Some topological methods currently in &amp;lt;br/&amp;gt;&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and &amp;lt;br/&amp;gt;&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques &amp;lt;br/&amp;gt;&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the &amp;lt;br/&amp;gt;&lt;br /&gt;
talk will be covering the breadth of techniques that are currently &amp;lt;br/&amp;gt;&lt;br /&gt;
being developed here, and an overview of the state of the software &amp;lt;br/&amp;gt;&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible for organizing the VisLunch sessions. Here are their contact &lt;br /&gt;
informations:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2075</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2075"/>
		<updated>2009-08-26T14:40:40Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Open Discussion and Semester Planning */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar&lt;br /&gt;
functions, for example, for automatic feature detection and&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the&lt;br /&gt;
various software solutions we are developing to solve data analysis&lt;br /&gt;
and visualization problems. Some topological methods currently in&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the&lt;br /&gt;
talk will be covering the breadth of techniques that are currently&lt;br /&gt;
being developed here, and an overview of the state of the software&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible for organizing the VisLunch sessions. Here are their contact &lt;br /&gt;
informations:&lt;br /&gt;
&lt;br /&gt;
 Julien Tierny&lt;br /&gt;
 Attila Gyulassy&lt;br /&gt;
 Room: 4660&lt;br /&gt;
 Phone: 585-3911&lt;br /&gt;
 jtierny@sci.utah.edu, aggyulassy@ucdavis.edu&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2074</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2074"/>
		<updated>2009-08-26T14:39:23Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next Friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar&lt;br /&gt;
functions, for example, for automatic feature detection and&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the&lt;br /&gt;
various software solutions we are developing to solve data analysis&lt;br /&gt;
and visualization problems. Some topological methods currently in&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the&lt;br /&gt;
talk will be covering the breadth of techniques that are currently&lt;br /&gt;
being developed here, and an overview of the state of the software&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
== Open Discussion and Semester Planning ==&lt;br /&gt;
This semester Julien Tierny and Attila Gyulassy will be responsible for organizing the VisLunch sessions. Here are their contact &lt;br /&gt;
 informations:&lt;br /&gt;
&lt;br /&gt;
 Lauro Lins&lt;br /&gt;
 Room: 4887&lt;br /&gt;
 Phone: 581-8061&lt;br /&gt;
 vislunch@sci.utah.edu&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2073</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2073"/>
		<updated>2009-08-26T14:37:42Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Coming up next Friday */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar&lt;br /&gt;
functions, for example, for automatic feature detection and&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the&lt;br /&gt;
various software solutions we are developing to solve data analysis&lt;br /&gt;
and visualization problems. Some topological methods currently in&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the&lt;br /&gt;
talk will be covering the breadth of techniques that are currently&lt;br /&gt;
being developed here, and an overview of the state of the software&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), http://idav.ucdavis.edu/~jediati/&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2072</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2072"/>
		<updated>2009-08-26T14:37:08Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
- '''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar&lt;br /&gt;
functions, for example, for automatic feature detection and&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the&lt;br /&gt;
various software solutions we are developing to solve data analysis&lt;br /&gt;
and visualization problems. Some topological methods currently in&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the&lt;br /&gt;
talk will be covering the breadth of techniques that are currently&lt;br /&gt;
being developed here, and an overview of the state of the software&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
- ''Speaker:'' Attila Gyulassy (SCI), [http://idav.ucdavis.edu/~jediati/]&lt;br /&gt;
&lt;br /&gt;
- ''Where:'' Conference Room 3760&lt;br /&gt;
&lt;br /&gt;
- ''When:'' Friday noon (08/28)&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2071</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2071"/>
		<updated>2009-08-26T14:25:39Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
'''Topology-based systems for data analysis and visualization'''&lt;br /&gt;
Topological techniques have become popular for the analysis of scalar&lt;br /&gt;
functions, for example, for automatic feature detection and&lt;br /&gt;
extraction. In this informal talk, I will present an overview of the&lt;br /&gt;
various software solutions we are developing to solve data analysis&lt;br /&gt;
and visualization problems. Some topological methods currently in&lt;br /&gt;
development at SCI utilize Reeb graphs, Morse-Smale complexes and&lt;br /&gt;
Jacobi sets. Some motivation and basic background for these techniques&lt;br /&gt;
will be presented in the talk. In particular, the main focus of the&lt;br /&gt;
talk will be covering the breadth of techniques that are currently&lt;br /&gt;
being developed here, and an overview of the state of the software&lt;br /&gt;
implementations.&lt;br /&gt;
&lt;br /&gt;
Speaker: Attila Gyulassy (SCI), [http://idav.ucdavis.edu/~jediati/]&lt;br /&gt;
&lt;br /&gt;
----&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
	<entry>
		<id>https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2070</id>
		<title>VisLunch/Fall2009</title>
		<link rel="alternate" type="text/html" href="https://www.vistrails.org//index.php?title=VisLunch/Fall2009&amp;diff=2070"/>
		<updated>2009-08-26T14:23:10Z</updated>

		<summary type="html">&lt;p&gt;Jtierny: /* Headline text */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Coming up next Friday ==&lt;br /&gt;
'''Topology-based systems for data analysis and visualization'''&lt;/div&gt;</summary>
		<author><name>Jtierny</name></author>
	</entry>
</feed>