Title
Interactive collision detection between deformable models using chromatic decomposition
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.
Year
DOI
Venue
2005
10.1145/1186822.1073301
ACM Trans. Graph.
Keywords
Field
DocType
linear time,collision detection,medical simulation,graph coloring,false positive
Medical simulation,Collision detection,Computer graphics (images),Chromatic scale,Computer science,Cloth modeling,Order of magnitude,Speedup,False positive paradox,Graph coloring
Journal
Volume
Issue
ISSN
24
3
0730-0301
Citations 
PageRank 
References 
83
3.62
29
Authors
8
Name
Order
Citations
PageRank
Naga K. Govindaraju13331234.15
David Knott2833.62
Nitin Jain3833.62
Ilknur Kabul41447.54
Rasmus Tamstorf555226.53
Russell Gayle649025.39
Ming Lin77046525.99
Dinesh Manocha89551787.40