Collision detection for deforming necklaces

  • Authors:

  • Pankaj Agarwal;Leonidas Guibas;An Nguyen;Daniel Russel;Li Zhang

  • Affiliations:

  • Department of Computer Science, Box 90129, Duke University, Durham, NC;Department of Computer Science, Stanford University, Stanford, CA;Department of Computer Science, Stanford University, Stanford, CA;Department of Computer Science, Stanford University, Stanford, CA;HP Labs, 1501 Page Mill Road, Palo Alto CA

  • Venue:
  • Computational Geometry: Theory and Applications - Special issue on the 18th annual symposium on computational geometry—SoCG2002
  • Year:
  • 2004

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Abstract

In this paper, we propose to study deformable necklaces--flexible chains of balls, called beads, in which only adjacent balls may intersect. Such objects can be used to model macro-molecules, muscles, ropes, and other linear objects in the physical world. We exploit this linearity to develop geometric structures associated with necklaces that are useful for collision detection in physical simulations. We show how these structures can be implemented efficiently and maintained under necklace deformation. In particular, we study a bounding volume hierarchy based on spheres which can be used for collision and self-collision detection of deforming and moving necklaces. As our theoretical and experimental results show, such a hierarchy is easy to compute and, more importantly, is also easy to maintain when the necklace deforms. Using this hierarchy, we achieve a collision detection upper bound of O(n log n) in two dimensions and O(n2-2/d) in d-dimensions, d ≥ 3. To our knowledge, this is the first subquadratic bound proved for a collision detection algorithm using predefined hierarchies. In addition, we show that the power diagram, with the help of some additional mechanisms, can be used to detect self-collisions of a necklace in a way that is complementary to the sphere hierarchy.