Collision Detection for Deformable Objects

M. Teschner, S. Kimmerle, Gabriel Zachmann, B. Heidelberger, Laks Raghupathi, A. Fuhrmann, Marie-Paule Cani, François Faure, N. Magnenat-Thalmann und W. Strasser
In proceedings of Eurographics 2004, State-of-the-Art Report, pages 119-135, Eurographics Association, 2004
 

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 focusses 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. Further, image-space techniques and stochastic methods are considered. Applications in cloth modeling and surgical simulation are presented.

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Bibtex

@INPROCEEDINGS{teschner-2004-collision,
     author = {Teschner, M. and Kimmerle, S. and Zachmann, Gabriel and Heidelberger, B. and Raghupathi, Laks and
               Fuhrmann, A. and Cani, Marie-Paule and Faure, Fran{\c{c}}ois and Magnenat-Thalmann, N. and Strasser, W.},
      pages = {119--135},
      title = {Collision Detection for Deformable Objects},
  booktitle = {Eurographics 2004, State-of-the-Art Report},
       year = {2004},
  publisher = {Eurographics Association},
   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 focusses 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. Further, image-space techniques and stochastic
               methods are considered. Applications in cloth modeling and surgical simulation are presented.}
}