A Combination of Hierarchical Structures and Particle Systems for Self-Collision Detection of Deforming Objects

نویسندگان

  • Masamichi Sugihara
  • Vladimir Savchenko
چکیده

In this paper, we propose an approach which combines hierarchical structures and particle systems for self-collision detection occurring in a deformable object. Numerous algorithms for collision detection have been proposed in computer graphics applications. Our algorithm exploits the efficiency of hierarchical structures to deal with many polygons, and particle systems because they can be used to extract colliding polygons. We have extended these two algorithms to deal with self-collision detection. The approach is split into two stages. Particles are distributed on the surface of a deformable object. Then, if the particles detect a possibility of a selfcollision, hierarchical self-collision detection is started. The algorithm has been implemented on a square cloth model as an example of a deformable object. We show that the algorithm efficiently reduces self-collision detection redundancy, and yet precisely detects self-collision events.

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تاریخ انتشار 2007