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


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.


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