Interactive collision detection between deformable models using chromatic decomposition
Naga K. Govindaraju, David Knott, Nitin Jain, Ilknur Kabul, Rasmus Tamstorf, Russell Gayle, Ming C. Lin, Dinesh Manocha
In ACM Transactions on Graphics, 24(3), August 2005.
Abstract: We present a novel algorithm for accurately detecting all contacts, including self-collisions, between deformable models. We precompute a chromatic decomposition of a mesh into non-adjacent primitives using graph coloring algorithms. The chromatic decomposition enables us to check for collisions between non-adjacent primitives using a linear-time culling algorithm. As a result, we achieve higher culling efficiency and significantly reduce the number of false positives. We use our algorithm to check for collisions among complex deformable models consisting of tens of thousands of triangles for cloth modeling and medical simulation. Our algorithm accurately computes all contacts at interactive rates. We observed up to an order of magnitude speedup over prior methods.
Keyword(s): cloth simulation, deformable collision detection, graph coloring, self-collision
Article URL: http://doi.acm.org/10.1145/1073204.1073301
BibTeX format:
@article{Govindaraju:2005:ICD,
  author = {Naga K. Govindaraju and David Knott and Nitin Jain and Ilknur Kabul and Rasmus Tamstorf and Russell Gayle and Ming C. Lin and Dinesh Manocha},
  title = {Interactive collision detection between deformable models using chromatic decomposition},
  journal = {ACM Transactions on Graphics},
  volume = {24},
  number = {3},
  pages = {991--999},
  month = aug,
  year = {2005},
}
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