Title
Fast continuous collision detection among deformable models using graphics processors
Abstract
We present an interactive algorithm to perform continuous collision detection between general deformable models using graphics processors (GPUs). We model the motion of each object in the environment as a continuous path and check for collisions along the paths. Our algorithm precomputes the chromatic decomposition for each object and uses visibility queries on GPUs to quickly compute potentially colliding sets of primitives. We introduce a primitive classification technique to perform efficient continuous self-collision. We have implemented our algorithm on a 3.0GHz Pentium IV PC with a NVIDIA 7800GPU, and we highlight its performance on complex simulations composed of several thousands of triangles. In practice, our algorithm is able to detect all contacts, including self-collisions, at image-space precision in tens of milli-seconds.
Year
DOI
Venue
2007
10.1016/j.cag.2006.09.005
Computers & Graphics
Keywords
Field
DocType
Collision detection,Physically-based simulation,Virtual environment,Graphics hardware,Physical interaction
Graphics,Visibility,Interactive algorithm,Collision detection,Chromatic scale,Computer science,Parallel computing,Pentium
Journal
Volume
Issue
ISSN
31
1
0097-8493
Citations 
PageRank 
References 
10
0.57
24
Authors
4
Name
Order
Citations
PageRank
Naga K. Govindaraju13331234.15
Ilknur Kabul2100.57
Ming Lin37046525.99
Dinesh Manocha49551787.40