Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15889
Title: Continuous collision detection for deformable objects using permissible clusters
Authors: Wong, SK
Baciu, G 
Keywords: Continuous collision detection
Deformable objects
Triangle clusters
Virtual reality
Issue Date: 2015
Publisher: Springer Verlag
Source: Visual computer, 2015, v. 31, no. 4, p. 377-389 How to cite?
Journal: Visual Computer 
Abstract: In this paper, we propose a new data structure to perform continuous collision detection (CCD) for deformable triangular meshes. The critical component of this data structure is permissible clusters. At the preprocessing phase, the triangular meshes are divided into permissible clusters. Then, the features of the triangular meshes are assigned to the permissible clusters. At the runtime phase, the potentially colliding feature pairs are collected and they are processed only once in the elementary processing. Our method has been integrated with a normal cone-based method and compared with other CCD methods. Experimental results show that our method improves the overall performance of CCD for deformable objects.
URI: http://hdl.handle.net/10397/15889
ISSN: 0178-2789
DOI: 10.1007/s00371-014-0933-6
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