Collision Detection for Deformable Objects

Teschner, M.; Kimmerle, S.; Heidelberger, B.; Zachmann, G.; Raghupathi, L.; Fuhrmann, A.; Cani, M.-P.; Faure, F.; Magnenat-Thalmann, N.; Strasser, W.; Volino, P.

Collision Detection for Deformable Objects

Files

star5.pdf (5.21 MB)

Date

2004

Authors

Teschner, M.
Kimmerle, S.
Heidelberger, B.
Zachmann, G.
Raghupathi, L.
Fuhrmann, A.
Cani, M.-P.
Faure, F.
Magnenat-Thalmann, N.
Strasser, W.
Volino, P.

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.

        @inproceedings{:10.2312/egst.20041028
,
booktitle = {Eurographics 2004 - STARs
},
editor = {},
title = {{Collision Detection for Deformable Objects
}},
author = {Teschner, M. and 
Kimmerle, S. and 
Volino, P. and 
Heidelberger, B. and 
Zachmann, G. and 
Raghupathi, L. and 
Fuhrmann, A. and 
Cani, M.-P. and 
Faure, F. and 
Magnenat-Thalmann, N. and 
Strasser, W.
},
year = {2004
},
publisher = {Eurographics Association
},
ISSN = {1017-4656
},
ISBN = {},
DOI = {/10.2312/egst.20041028
}
}