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The Institute for Data Analysis and Visualization (IDAV) consists of six faculty members and approximately 30 researchers and graduate students all working on interdisciplinary problems in visualization, geometric modeling, computer graphics, computational geometry, graphics architecture, and immersive technologies. We are key partners in VACET, a DoE SciDAC II Visualization and Analytics Center for Enabling Technologies, and in the IRTG, an International Research Training Group based at the Technical University of Kaiserslautern in Germany. We are an internationally recognized leader in the fields of visualization and computer graphics, addressing problems that range from the multiresolution display of very large-scale data, to the discovery of new visual analysis algorithms, to the design of methods to accelerate the use of graphics hardware. Featured Project
Evolutionary Morphing
We propose to develop software tools for the analysis, interpretation and visualization of three-dimensional shape data from living and extinct organisms, using the statistical framework of geometric morphometics. While this software will be widely useful in biology and paleontology, we plan to focus our work by concentrating on one significant problem: incorporating fossils into evolutionary trees. Evolutionary trees for groups of living ... [more] |
Latest News May 23, 2011
Christoph Garth accepts faculty position at the Technical University of Kaiserslautern
April 15, 2011
Anjul Patney wins Intel Corporation PhD Fellowship
April 15, 2011
Hank Childs gives the Keynote Presentation at EGPGV
Recent Publications
Ebeida,
Mitchell,
Patney,
Davidson,
Owens,
"A Simple Algorithm for Maximal Poisson-Disk Sampling in High Dimensions",
in Computer Graphics Forum,
Vol 31,
Num 2,
2012
Obermaier,
Chen,
Hagen,
Joy,
"Visualization of Material Interface Stability",
in PacificVis 2012,
2012
Zhang,
Recker,
Ulichney,
Tastl,
Owens,
"Plane-dependent Error Diffusion on a GPU",
in Proceedings of SPIE: IS&T/SPIE Electronic Imaging 2012 / Parallel Processing for Imaging Applications II,
Vol 8295B,
2012
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