Difference between revisions of "VisLunch/Fall2010"

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! rowspan=1 |October 1 ||  Liang Zhou || Tensor Product Transfer Functions Using Statistical and Occlusion Metrics
! rowspan=1 |October 1 ||  Liang Zhou || Tensor Product Transfer Functions Using Statistical and Occlusion Metrics
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! rowspan=2 |October 8 || Sam Gerber || Vis Practice Talk:  
! rowspan=2 |October 8 || Sam Gerber || Vis Practice Talk: Visual Exploration of High Dimensional Scalar Functions
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! Erik Anderson || TBA  
! Erik Anderson || TBA  
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'''''Speaker: Sam Gerber'''''
'''''Speaker: Sam Gerber'''''


Vis Paper Practice Talk
Vis Paper Practice Talk: Visual Exploration of High Dimensional Scalar Functions
 
An important goal of scientific data analysis is to understand the behavior of a system or process based on a sample of
the system. In many instances it is possible to observe both input parameters and system outputs, and characterize the system as
a high-dimensional function. Such data sets arise, for instance, in large numerical simulations, as energy landscapes in optimization
problems, or in the analysis of image data relating to biological or medical parameters. This paper proposes an approach to analyze
and visualizing such data sets. The proposed method combines topological and geometric techniques to provide interactive visualizations of discretely sampled high-dimensional scalar fields. The method relies on a segmentation of the parameter space using an
approximate Morse-Smale complex on the cloud of point samples. For each crystal of the Morse-Smale complex, a regression of the
system parameters with respect to the output yields a curve in the parameter space. The result is a simplified geometric representation of the Morse-Smale complex in the high dimensional input domain. Finally, the geometric representation is embedded in 2D, using
dimension reduction, to provide a visualization platform. The geometric proper ties of the regression curves enable the visualization
of additional information about each crystal such as local and global shape, width, length, and sampling densities. The method is
illustrated on several synthetic examples of two dimensional functions. Two use cases, using data sets from the UCI machine learning
repository, demonstrate the utility of the proposed approach on real data. Finally, in collaboration with domain experts the proposed
method is applied to two scientific challenges. The analysis of parameters of climate simulations and their relationship to predicted
global energy flux and the concentrations of chemical species in a combustion simulation and their integration with temperature.
 


'''''Speaker: Erik Anderson '''''
'''''Speaker: Erik Anderson '''''

Revision as of 19:33, 30 September 2010

Vis Lunch!

Where: Conference Room WEB 3760

When: Friday noon

This semester Paul Rosen and Kristi Potter will be responsible
for organizing the VisLunch sessions. Please feel free to contact them
for any question regarding VisLunch or for scheduling a talk:

Paul Rosen
prosen@sci.utah.edu

Kristi Potter
kpotter@sci.utah.edu

Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Fall2010)

If you are unaware, VisLunch provides everyone at SCI a platform to present their research work and/or the latest developments in the community that could benefit the rest of us. In addition, the meeting is a great forum to give practice talks and improve your presentation skills. Plus there's _free_ pizza, and it's a nice opportunity to meet new people. Please let either Paul or Kristi know if

1.) You've submitted work to a research venue (e.g. recent conferences like Siggraph) and would like to share your ideas;

2.) You are preparing a submission to an upcoming venue (e.g. IEEE Vis, Siggraph Asia, etc.) and would like to get some feedback;

3.) Your work has been accepted to some venue and you are preparing a presentation you would like to practice; or

4.) You've recently read a new publication and are fascinated by the ideas and wish to share them with the rest of us.


Please consider volunteering to give a presentation at some point! We're hoping that there will be enough presenters so that we don't cancel any future weeks.


Sessions

Date Presenter Topic
September 03 Kristi Potter Organization and Introductions
Yi Yang ViSSaAn: Visual Support for Safety Analysis
September 10 Dav de St. Germain Developer's Symposium II
September 17 Jens Krueger Work at the Interactive Visualization and Data Analysis Group
October 1 Liang Zhou Tensor Product Transfer Functions Using Statistical and Occlusion Metrics
October 8 Sam Gerber Vis Practice Talk: Visual Exploration of High Dimensional Scalar Functions
Erik Anderson TBA
October 15 Fall Break NO VisLunch
October 22 Allen Sanderson Vis Practice Talk
Roni Choudhury Vis PhD Colloquim Practice Talk
October 29 VisWeek 2010 NO VisLunch
November 5 Speaker TBA
November 12 Speaker TBA
November 19 Speaker TBA
November 26 Thanksgiving NO VisLunch
December 3 Speaker TBA
December 10 Speaker TBA

September 3: Organization and Introductions / Yi Yang

Organization and Introductions

Quick discussion of vis lunch and introductions. Students attending should plan on giving a brief (5 minutes or so) oral description of what they have done with the last 3 months of their lives.

Speaker: Yi Yang

ViSSaAn: Visual Support for Safety Analysis Safety of technical systems are becoming more and more important nowadays. Fault trees, component fault trees, and minimal cut sets are usually used to attack the problems of assessing safety-critical systems. A visualization system named ViSSaAn (Visual Support for Safety Analysis), consisting of a matrix view, is proposed that supports an efficient safety analysis based on the information from these techniques. Interactions such as zooming and grouping are provided to support the task of finding the safety problems from the analysis information.

September 10: Developer's Symposium II

Speakers:

  • C-SAFE [Davison de St. Germain, John Schmidt]
  • SDC (Software Development Center) [Steve Callahan, John Schreiner]
  • Backscatter CT simulation, Non-rigid image registration [Yongsheng Pan]
  • Longitudinal data analysis [Stanley Durrleman, Marcel Prastawa]
  • FEBio/PreView/PostView [Steve Maas]

September 17: Work at the Interactive Visualization and Data Analysis Group

Speaker: Jens Krueger

What's Jens' been up to in the last year and what are possibilities of collaboration?

October 01: Tensor Product Transfer Functions Using Statistical and Occlusion Metrics

Speaker: Liang Zhou

Direct volume rendering has been an active area of research for over two decades. While impressive results are possible, transfer function design remains a difficult task. Current methods, the traditional 1D and 2D transfer functions, are not always effective for all datasets. In this paper, we present a novel tensor product style 3D transfer function which can provide more specificity for data classification. Our new transfer function field is comprised of a 2D statistical transfer function with occlusion information as the third axis. The 2D statistical transfer function space is computed via an adaptive method, the occlusion information is computed as an edge preserving mean value on the volume. Both metrics are precomputed on GPUs in seconds providing for interactivity. Additionally, we present a novel user interface for manipulating the 3D transfer function which allows the user to easily explore the 3D tensor product transfer function space. We compare the new method to previous 2D gradient magnitude, 2D occlusion spectrum and 2D statistical transfer functions to demonstrate its usefulness.

October 08: Vis Practice Talks

Speaker: Sam Gerber

Vis Paper Practice Talk: Visual Exploration of High Dimensional Scalar Functions

An important goal of scientific data analysis is to understand the behavior of a system or process based on a sample of the system. In many instances it is possible to observe both input parameters and system outputs, and characterize the system as a high-dimensional function. Such data sets arise, for instance, in large numerical simulations, as energy landscapes in optimization problems, or in the analysis of image data relating to biological or medical parameters. This paper proposes an approach to analyze and visualizing such data sets. The proposed method combines topological and geometric techniques to provide interactive visualizations of discretely sampled high-dimensional scalar fields. The method relies on a segmentation of the parameter space using an approximate Morse-Smale complex on the cloud of point samples. For each crystal of the Morse-Smale complex, a regression of the system parameters with respect to the output yields a curve in the parameter space. The result is a simplified geometric representation of the Morse-Smale complex in the high dimensional input domain. Finally, the geometric representation is embedded in 2D, using dimension reduction, to provide a visualization platform. The geometric proper ties of the regression curves enable the visualization of additional information about each crystal such as local and global shape, width, length, and sampling densities. The method is illustrated on several synthetic examples of two dimensional functions. Two use cases, using data sets from the UCI machine learning repository, demonstrate the utility of the proposed approach on real data. Finally, in collaboration with domain experts the proposed method is applied to two scientific challenges. The analysis of parameters of climate simulations and their relationship to predicted global energy flux and the concentrations of chemical species in a combustion simulation and their integration with temperature.


Speaker: Erik Anderson

TBA

October 15: Fall Break - NO Vis Lunch

October 22: Vis Practice Talks

Speaker: Allen Sanderson

Vis Paper Practice Talk


Speaker: Roni Choudhury

Vis PhD Colloquim Practice Talk


October 29: VisWeek 2010 - no Vis Lunch

http://vis.computer.org/VisWeek2010/

November 05: TBD

Speaker:

November 12: TBD

Speaker:

November 19: TBD

Speaker:

November 26: Thanksgiving - no Vis Lunch

December 03: TBD

Speaker:

December 10: TBD

Speaker: