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(New page: This semester Guoning Chen and Josh Levine will be responsible <br/> for organizing the VisLunch sessions. Please feel free to contact them <br/> for any question regarding VisLunch or fo...)
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== Feb. 5, 2010 ==
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- '''Fiedler Trees for Multiscale Surface Analysis'''
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In this work we introduce a new hierarchical surface decomposition method for multiscale analysis of surface meshes. In contrast to other multiresolution methods, our approach relies on spectral properties of the surface to build a binary hierarchical decomposition. Namely, we utilize the Fiedler vector of the Laplace-Beltrami operator to recursively decompose the surface. For this reason, we coin our surface decomposition the Fiedler tree. Using the Fiedler tree ensures a number of attractive properties, including: mesh-independent decomposition, well-formed and equi-areal surface patches, and noise robustness. We illustrate how the hierarchical patch decomposition may be exploited for generating multiresolution high quality uniform and adaptive meshes, as well as being a natural means for carrying out wavelet methods.
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- ''Speaker:'' Matt Berger  (SCI), http://www.sci.utah.edu/people/bergerm.html
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- ''Where:'' Conference Room 3760
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- ''When:'' Friday noon (02/05)
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== Jan. 29, 2010 ==
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- '''Applying Manifold Learning to Plotting Approximate Contour Trees''' (VIS paper discussion)
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- ''Speaker:'' Hao Wang (SCI), http://www.cs.utah.edu/~haow/
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- ''Where:'' Conference Room 3760
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- ''When:'' Friday noon (01/29)

Revision as of 10:10, 26 January 2010

This semester Guoning Chen and Josh Levine will be responsible
for organizing the VisLunch sessions. Please feel free to contact them
for any question regarding VisLunch or for scheduling a talk:

Information regarding the VisLunch sessions will posted on this wiki page (http://www.vistrails.org/index.php/VisLunch/Spring2010)



Feb. 5, 2010

- Fiedler Trees for Multiscale Surface Analysis

In this work we introduce a new hierarchical surface decomposition method for multiscale analysis of surface meshes. In contrast to other multiresolution methods, our approach relies on spectral properties of the surface to build a binary hierarchical decomposition. Namely, we utilize the Fiedler vector of the Laplace-Beltrami operator to recursively decompose the surface. For this reason, we coin our surface decomposition the Fiedler tree. Using the Fiedler tree ensures a number of attractive properties, including: mesh-independent decomposition, well-formed and equi-areal surface patches, and noise robustness. We illustrate how the hierarchical patch decomposition may be exploited for generating multiresolution high quality uniform and adaptive meshes, as well as being a natural means for carrying out wavelet methods.

- Speaker: Matt Berger (SCI), http://www.sci.utah.edu/people/bergerm.html

- Where: Conference Room 3760

- When: Friday noon (02/05)

Jan. 29, 2010

- Applying Manifold Learning to Plotting Approximate Contour Trees (VIS paper discussion)


- Speaker: Hao Wang (SCI), http://www.cs.utah.edu/~haow/

- Where: Conference Room 3760

- When: Friday noon (01/29)

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