Kinetic Separation Lists for Continuous Collision Detection of Deformable Objects
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Date
2006
Authors
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.
Description
@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}
}