filename     : Tes05.pdf
entry        : article
conference   : 
pages        : 61-81
year         : 2005 
month        : March
title        : Collision Detection for Deformable Objects
subtitle     :
author       : M. Teschner, S. Kimmerle, B. Heidelberger, G. Zachmann, L. Raghupathi, A. Fuhrmann, M.-P. Cani, F. Faure, N. Magnenat-Thalmann, W. Strasser, P.Volino
booktitle    : Computer Graphics Forum
ISSN/ISBN    :
editor       : 
publisher    : The Eurographics Association and Blackwell Publishing Ltd
publ.place   :
volume       : 24
issue        : 1
language     : English
keywords     : deformable collision detection, self-collision detection, continuous collision detection, stochastic collision detection, image-space collision detection, bounding-volume hierarchy, spatial subdivision, distance field
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.