Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33204
Title: Image-based collision detection for deformable cloth models
Authors: Baciu, G 
Wong, WSK
Keywords: Animation
Cloth simulation
Collision detection
Deformable surfaces
Issue Date: 2004
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on visualization and computer graphics, 2004, v. 10, no. 6, p. 649-663 How to cite?
Journal: IEEE transactions on visualization and computer graphics 
Abstract: Modeling the natural interaction of cloth and garments with objects in a 3D environment is currently one of the most computationally demanding tasks. These highly deformable materials are subject to a very large number of contact points in the proximity of other moving objects. Furthermore, cloth objects often fold, roll, and drape within themselves, generating a large number of self-collision areas. The interactive requirements of 3D games and physically driven virtual environments make the cloth collisions and self-collision computations more challenging. By exploiting mathematically well-defined smoothness conditions over smaller patches of deformable surfaces and resorting to image-based collision detection tests, we developed an efficient collision detection method that achieves interactive rates while tracking self-interactions in highly deformable surfaces consisting of a large number of elements. The method makes use of a novel technique for dynamically generating a hierarchy of cloth bounding boxes in order to perform object-level culling and image-based intersection tests using conventional graphics hardware support. An efficient backward voxel-based AABB hierarchy method is proposed to handle deformable surfaces which are highly compressed.
URI: http://hdl.handle.net/10397/33204
ISSN: 1077-2626
EISSN: 1941-0506
DOI: 10.1109/TVCG.2004.44
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