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Collision Detection for Deformable Objects
Authors:M Teschner  S Kimmerle  B Heidelberger  G Zachmann  L Raghupathi  A Fuhrmann  M-P Cani  F Faure  N Magnenat-Thalmann  W Strasser  P Volino
Affiliation:Computer Graphics Laboratory, University of Freiburg, Germany; Computer Graphics Laboratory, ETH Zurich, Switzerland; WSI/GRIS, Universität Tübingen, Germany; Miralab, University of Geneva, Switzerland; GRAVIR/IMAG, INRIA Grenoble, France; Universität Bonn, Germany; Fraunhofer Institute for Computer Graphics, Darmstadt, Germany
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.
Keywords:deformable collision detection  self-collision detection  continuous collision detection  stochastic collision detection  image-space collision detection  bounding-volume hierarchy  spatial subdivision  distance field  I  3  5 Computer Graphics: Computational Geometry and Object Modeling  I  3  7 Computer Graphics: Three-Dimensional Graphics and Realism
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