Fast continuous collision detection using deforming non-penetration filters

  • Authors:
  • Min Tang;Dinesh Manocha;Ruofeng Tong

  • Affiliations:
  • Zhejiang University;University of North Carolina at Chapel Hill;Zhejiang University

  • Venue:
  • Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games
  • Year:
  • 2010

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Abstract

We present a novel culling algorithm that uses deforming non-penetration filters to improve the performance of continuous collision detection (CCD) algorithms. The underlying idea is to use a simple and effective filter that reduces both the number of false positives and the elementary tests between the primitives. This filter is derived from the coplanarity condition and can be easily combined with other methods used to accelerate CCD. We have implemented the algorithm and tested its performance on many non-rigid simulations. In practice, we can reduce the number of false positives significantly and improve the overall performance of CCD algorithms by 1.5--8.2x.