SWIFT++ Publications and Video Demonstrations

General Polyhedral Proximity Query

Abstract: The need to perform fast and accurate proximity queries arises frequently in physically-based modeling, simulation, animation, real-time interaction within a virtual environment, and game dynamics. The set of proximity queries include intersection detection, tolerance verification, exact and approximate minimum distance computation, and (disjoint) contact determination. Specialized data structures and algorithms have often been designed to perform each type of query separately. We present a unified approach to perform any of these queries seamlessly for general, rigid polyhedral objects with boundary representations which are orientable 2-manifolds. The proposed method involves a hierarchical data structure built upon a surface decomposition of the models. Furthermore, the incremental query algorithm takes advantage of coherence between successive frames. It has been applied to complex benchmarks and compares very favorably with earlier algorithms and systems.

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Stephen A. Ehmann and Ming C. Lin
Accurate and Fast Proximity Queries between Polyhedra Using Surface Decomposition .pdf (1.0 MB)
To appear in Computer Graphics Forum (Proc. of Eurographics), 2001.

Video Demonstrations
Interlocked Tori
Cup and Spoon
Shifting Teeth
Opening and Closing Teeth
Spiral Peg I
Spiral Peg II

Principle Investigators
 Ming Lin

Project Members
 Stephen Ehmann

Related Projects
  UNC Collide Research Group
  GAMMA: UNC Research Group On Geometric Algorithms for Modeling and Motion Applications

Funding Agencies
 Army Research Office
 National Science Foundation

Last Content Update : Apr 19, 2001
Last Content Review : Apr 19, 2001

For more information, contact geom@cs.unc.edu

Copyright 2001. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the author.

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Author: Stephen Ehmann

Maintained by: ehmann@cs.unc.edu

Copyright 2001