DocumentCode :
525261
Title :
Research of collision detection algorithm based on particle swarm optimization
Author :
Shen Xue-li ; Zhang Ji-suo
Author_Institution :
Coll. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
Volume :
1
fYear :
2010
fDate :
25-27 June 2010
Abstract :
This paper presents a particle swarm optimization based on real-time collision detection algorithm, and combines the PSO and the OBB hierarchy bounding box algorithm. OBB algorithm close simply establishes three-dimensional object bounding box. the collision detection problem in the three-dimensional space change into a two-dimensional space optimization process. PSO algorithm can quickly determine the regional intervention of geometric model, and exclude non-interference in the region. Then, further details of the triangle collision detection, and improves real-time collision detection in the virtual system.
Keywords :
computational complexity; computational geometry; particle swarm optimisation; real-time systems; OBB; PSO; geometric model; object bounding box; particle swarm optimization; real-time collision detection algorithm; Change detection algorithms; Design engineering; Detection algorithms; Educational institutions; Interference; Object detection; Particle swarm optimization; Real time systems; Sampling methods; Solid modeling; Collision Detection; OBB bounding box; PSO algorithm; Three-dimensional space; component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5541045
Filename :
5541045
Link To Document :
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