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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 SDAV, a DoE SciDAC III Scalable Data Analysis an Visualization Center, 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
Velocity Aligned Discrete Oriented Polytopes
We propose an acceleration scheme for many-body dynamic collision detection at interactive rates. We use a tight bounding volume representation that offers fast update rates and that is particularly suitable for applications with fast-moving objects. The axes selection that determines the shape of our bounding volumes is based on spherical coverings. We demonstrate that we can detect robustly collisions that are missed by ... [more] |
Latest News November 19, 2012
Hank Childs to take a faculty position at the University of Oregon
May 12, 2012
John Owens awarded CUDA Fellow
May 8, 2012
Hank Childs is awarded DoE Early Career Award
Recent Publications
Huettenberger,
Obermaier,
Garth,
Joy,
Hagen,
"Topological Aspects of Material Interface Reconstruction: Challenges and Perspectives",
in Topological Methods in Data Analysis and Visualization (TopoInVis),
Num To Appear,
pp To Appear,
2013
Prilepov,
Obermaier,
Deines,
Garth,
Joy,
"Cubic Gradient-Based Material Interfaces",
in IEEE Transactions on Visualization and Computer Graphics,
2013
Shafii,
Obermaier,
Linn,
Koo,
Hlawitschka,
Garth,
Hamann,
Joy,
"Visualization and Analysis of Vortex-Turbine Intersections in Wind Farms",
in IEEE Transactions on Visualization and Computer Graphics,
2013
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