Continuous Collision Detection Between Points and Signed Distance Fields

Loading...
Thumbnail Image
Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present an algorithm for fast continuous collision detection between points and signed distance fields. Such robust queries are often needed in computer animation, haptics and virtual reality applications, but have so far only been investigated for polygon (triangular) geometry representations. We demonstrate how to use an octree subdivision of the distance field for fast traversal of distance field cells. We also give a method to combine octree subdivision with points organized into a tree hierarchy, for efficient culling of continuous collision detection tests. We apply our method to multibody rigid simulations, and demonstrate that our method accelerates continuous collision detection between points and distance fields by an order of magnitude.
Description

        
@inproceedings{
10.2312:vriphys.20141218
, booktitle = {
Workshop on Virtual Reality Interaction and Physical Simulation
}, editor = {
Jan Bender and Christian Duriez and Fabrice Jaillet and Gabriel Zachmann
}, title = {{
Continuous Collision Detection Between Points and Signed Distance Fields
}}, author = {
Xu, Hongyi
 and
Barbic, Jernej
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-905674-71-2
}, DOI = {
10.2312/vriphys.20141218
} }
Citation
Collections