DocumentCode
1642207
Title
Quick-CULLIDE: fast inter- and intra-object collision culling using graphics hardware
Author
Govindaraju, Naga K. ; Lin, Ming C. ; Manocha, Dinesh
Author_Institution
Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC, USA
fYear
2005
Firstpage
59
Lastpage
66
Abstract
We present a fast collision culling algorithm for performing inter-and intra-object collision detection among complex models using graphics hardware. Our algorithm is based on CULLIDE (Govindaraju et al., 2003) and performs visibility queries on the GPUs to eliminate a sub-set of geometric primitives that are not in close proximity. We present an extension to CULLIDE to perform intra-object or self-collisions between complex models. Furthermore, we describe a novel visibility-based classification scheme to compute potentially-colliding and collision-free subsets of objects and primitives, which considerably improves the culling performance. We have implemented our algorithm on a PC with an NVIDIA GeForce FX 6800 Ultra graphics card and applied it to three complex simulations, each consisting of objects with tens of thousands of triangles. In practice, we are able to compute all the self-collisions for cloth simulation up to image-space precision at interactive rates.
Keywords
collision avoidance; computational geometry; computer animation; coprocessors; virtual reality; GPU; NVIDIA GeForce FX 6800 Ultra graphics card; Quick-CULLIDE; cloth simulation; complex models; graphics hardware; image-space precision; interobject collision culling; intraobject collision culling; physical interaction; physically-based simulation; self-collisions; virtual environment; visibility queries; visibility-based classification; Avatars; Computational modeling; Computer graphics; Hardware; Object detection; Personal communication networks; Physics computing; Solid modeling; Virtual environment; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Virtual Reality, 2005. Proceedings. VR 2005. IEEE
Conference_Location
Bonn
Print_ISBN
0-7803-8929-8
Type
conf
DOI
10.1109/VR.2005.1492754
Filename
1492754
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