DocumentCode
498878
Title
The honeycomb-shaped spatial decomposition collision detection algorithm
Author
Wang, Hong-rui ; Liu, Jing ; Liu, Xiu-Ling
Author_Institution
Dept. of Electron. & Informational Eng., Hebei Univ., Baoding, China
Volume
3
fYear
2009
fDate
12-15 July 2009
Firstpage
1861
Lastpage
1865
Abstract
At present, most of the image-based collision detection algorithms must take the convex polyhedrons as the premise. For all the concave polyhedrons, before in using of the image-based collision algorithms, it is necessary to be decomposed into the convex polyhedrons firstly. In this paper, an improved image-based collision algorithm for a detailed CD between a pair of polyhedrons based on the contour of projection and the honeycomb-shaped spatial decomposition is presented. The nature of the polyhedrons considered can be convex polyhedrons or concave polyhedrons.
Keywords
matrix algebra; object detection; concave polyhedron; convex polyhedron; honeycomb-shaped spatial decomposition algorithm; image-based collision detection algorithm; Animation; Computer graphics; Cybernetics; Detection algorithms; Machine learning; Machine learning algorithms; Partitioning algorithms; Robots; Virtual environment; Virtual reality; Collision detection; Honeycomb-shaped spatial decomposition; Image-based; Threshold distance; Threshold line; contour of projection;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212253
Filename
5212253
Link To Document