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Collision Detection for Deformable Objects

Teschner Matthias, Kimmerle Stefan, Heidelberger Bruno, Zachmann Gabriel, Raghupathi Laks, Fuhrmann Arnulph, Cani Marie-Paule, Faure François, Magnenat-Thalmann Nadia, Strasser Wolfgang, Volino Pascal
Comput. Graph. Forum, 24 (1), 61–81, 2005.
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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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Références BibTex

@article{TKHZRFCFMSV05,
author = {Matthias Teschner and Stefan Kimmerle and Bruno Heidelberger and Gabriel Zachmann and Laks Raghupathi and Arnulph Fuhrmann and Marie-Paule Cani and Fran\c{c}ois Faure and Nadia Magnenat-Thalmann and Wolfgang Strasser and Pascal Volino},
title = {Collision Detection for Deformable Objects},
journal = {Comput. Graph. Forum},
volume = 24,
number = {1},
pages = {61--81},
month = mar,
year = 2005
}

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