Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
(CS 528)
Parameterizing Deformable Systems to Tame Complexity
Doug James
December 5 , 2005, 4:15PM
Hewlett (TCSeq) 200
http://graphics.stanford.edu/ba-colloquium/
Abstract
The complexity and beauty of physical deformation phenomena in our
lives is truly amazing. It fundamentally affects our appearance (skin,
hair, clothing), our composition (protein folding), the sounds we make
(talking, clapping), beauty in nature (irises blowing in the wind), our
creations (aerospace design), and important decisions (surgical
intervention). Computer modeling of deformation has made enormous
progress, but the complexity of the world is humbling. We still do not
know how to create immersive, realistic, real-time computer
simulations of our ever-changing and deforming world.
In this talk, I will discuss our recent work on data-driven approaches
for preprocessing and parameterizing deformable systems to enable
greater interactivity. These techniques exploit the structure of
deformable motion to build efficient output-sensitive algorithms in
several key areas: subspace dynamics integration, output-sensitive
collision processing, haptic force-feedback rendering, dynamic
illumination modeling, and hardware-accelerated mesh animation.
About the Speaker
Doug L. James has been an Assistant Professor of
Computer Science and Robotics at Carnegie Mellon University since Fall
2002. He received his Ph.D. from the Institute of Applied Mathematics
at the University of British Columbia, Vancouver, Canada, advised by
Dinesh K. Pai. Doug is a recipient of an NSF Early Career Development
Award for his work on "Precomputing Data-driven Deformable Systems for
Multimodal Interactive Simulation," and was recently named one of
Popular Science magazine's "Brilliant 10" young scientists for 2005.
Contact: bac-coordinators@cs.stanford.edu
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