DocumentCode :
1903429
Title :
The Collision Detection Algorithm in Virtual Reality
Author :
Wei, Zhao ; Xinxin, Guo
Author_Institution :
Inf. Technol. Acad., Jilin Agric. Univ., Changchun, China
Volume :
3
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
538
Lastpage :
541
Abstract :
This paper puts forward a kind of hybrid algorithm-combining the hierarchical bounding volume method and the bounding volume coordinate chain method in the virtual environment. This algorithm can improve the efficiency of collision detection, rigid body and the software both can be applied to with the collision detection. Then we built the task trees by traversing the mixed hierarchical bounding volumes and speeded up the collision detection algorithm by applying a parallel computing and introduce a space-time correlations concept to accelerate the speed of updating of the bounding box at the same time. Objects that intersect precisely in the testing process, combined with hierarchical bounding box tree compression and storage, storage space by reducing the algorithm to improve the detection algorithm speed. Experimental results show that the method compared with the single bounding method level, it advantages, and objects in the detection of more cases can reduce the execution time required for the algorithm.
Keywords :
computational geometry; parallel algorithms; trees (mathematics); virtual reality; bounding box updating speed; bounding volume coordinate chain method; collision detection algorithm; hierarchical bounding box tree compression; hierarchical bounding box tree storage; hierarchical bounding volume method; hybrid algorithm; mixed hierarchical bounding volumes; parallel computing; single bounding method level; space-time correlations concept; task trees; virtual environment; virtual reality; Algorithm design and analysis; Detection algorithms; Indexes; Memory management; Pipeline processing; Vegetation; Virtual reality; Compression and storage; Parallel algorithm; bounding volume coordinate chain; bounding volume tree; collision detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.412
Filename :
6188232
Link To Document :
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