Interactive collision detection between deformable models using chromatic decomposition

Authors:
Naga K. Govindaraju;David Knott;Nitin Jain;Ilknur Kabul;Rasmus Tamstorf;Russell Gayle;Ming C. Lin;Dinesh Manocha
Affiliations:
University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;Walt Disney Feature Animation;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill
Venue:
ACM SIGGRAPH 2005 Papers
Year:
2005

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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.