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Collision Detection for Deformable Objects

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Abstract

Interactive environments for dynamically deforming objects play an important role in surgery simulation and entertainment technology. These environments require fast deformable models and very efficient collision handling techniques. While collision detection for rigid bodies is well investigated, collision detection for deformable objects introduces additional challenging problems. This paper focuses on these aspects and summarizes recent research in the area of deformable collision detection. Various approaches based on bounding volume hierarchies, distance fields and spatial partitioning are discussed. In addition, image-space techniques and stochastic methods are considered. Applications in cloth modeling and surgical simulation are presented.
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Keywords: I.3.5 Computer Graphics: Computational Geometry and Object Modeling; I.3.7 Computer Graphics: Three-Dimensional Graphics and Realism; bounding-volume hierarchy; continuous collision detection; deformable collision detection; distance field; image-space collision detection; self-collision detection; spatial subdivision; stochastic collision detection

Document Type: Research Article

Affiliations: 1: Computer Graphics Laboratory, University of Freiburg, Germany 2: WSI/GRIS, Universität Tübingen, Germany 3: Computer Graphics Laboratory, ETH Zurich, Switzerland 4: Universität Bonn, Germany 5: GRAVIR/IMAG, INRIA Grenoble, France 6: Fraunhofer Institute for Computer Graphics, Darmstadt, Germany 7: Miralab, University of Geneva, Switzerland

Publication date: March 1, 2005

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