Kinetic Separation Lists for Continuous Collision Detection of Deformable Objects

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Date
2006
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a new acceleration scheme for continuous collision detection of objects under arbitrary deformations. Both pairwise and self collision detection are presented. This scheme is facilitated by a new acceleration data structure, the kinetic separation list. The event-based approach of our kinetic separation list enables us to transform the continuous problem into a discrete one. Thus, the number of updates of the bounding volume hierarchies as well as the number of bounding volume checks can be reduced significantly. We performed a comparison of our kinetic approaches with the classical swept volume algorithm. The results show that our algorithm performs up to fifty times faster in practically relevant scenarios.
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@inproceedings{
:10.2312/PE/vriphys/vriphys06/033-042
, booktitle = {
Vriphys: 3rd Workshop in Virtual Realitiy, Interactions, and Physical Simulation
}, editor = {
Cesar Mendoza and Isabel Navazo
}, title = {{
Kinetic Separation Lists for Continuous Collision Detection of Deformable Objects
}}, author = {
Weller, Rene
and
Zachmann, Gabriel
}, year = {
2006
}, publisher = {
The Eurographics Association
}, ISBN = {
3-905673-61-4
}, DOI = {
/10.2312/PE/vriphys/vriphys06/033-042
} }
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