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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
Shell Maps
A shell map is a bijective mapping between shell space and texture space that can be used to generate small-scale features on surfaces using a variety of modeling techniques. The method is based upon the generation of an offset surface and the construction of a tetrahedral mesh that fills the space between the base surface and its offset. By identifying a corresponding tetrahedral mesh in texture space, the shell map can be implemented ... [more] |
Latest News January 29, 2010
IRTG Researchers from the Technical University of Kaiserslautern visit IDAV for the winter quarter
January 11, 2010
Garth publication gets the cover of SciDAC Review
January 4, 2010
Nelson Max receives NNSA Grant for simulating input to remote sensing algorithms.
Recent Publications
Anderson,
Garth,
Duchaineau,
Joy,
"Smooth, Volume-Accurate Material Interface Reconstruction",
in IEEE Transactions on Visualization and Computer Graphics,
2010
Zhang,
Cohen,
Owens,
"Fast Tridiagonal Solvers on the GPU",
in Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2010),
pp 10pp,
2010
Hlawitschka,
Garth,
Tricoche,
Kindlmann,
Scheuermann,
Joy,
Hamann,
"Direct Visualization of Fiber Information by Coherence
Direct Visualization of Fiber Information by Coherence",
in International Journal of Computer Assisted Radiology and Surgery,
Vol 5,
Num 2,
pp 125ff,
2010
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