DocumentCode
2076674
Title
The research of parallel collision detection algorithm in the virtual surgery
Author
Wei, Zhao ; Xinxin, Guo
Author_Institution
Inf. Technol. Acad., Jilin Agric. Univ., Changchun, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
1709
Lastpage
1712
Abstract
It proposes a parallel speedy hybrid hierarchical bounding volumes algorithm (SHBVS) oriented to virtual surgery of fast collision detection algorithm in this paper. Considering the quick intersect test and updating of Axis-Aligned Bounding Box (AABB) and the tightness of oriented Bounding Box (OBB), we construct this hybrid hierarchical bounding volumes. 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. The experimental results show that the algorithm can efficiently solve the hierarchical bounding box on a single collision detection in space-time correlations, and it´s also a good way to solve the problem of low efficiency of the bounding box update time consuming after software changes.
Keywords
geometry; medical computing; parallel programming; surgery; trees (mathematics); virtual reality; AABB; OBB; SHBVS; axis-aligned bounding box; oriented bounding box; parallel collision detection algorithm; parallel computing; parallel speedy hybrid hierarchical bounding volumes algorithm; space-time correlations; task trees; virtual surgery; Binary trees; Correlation; Detection algorithms; Real time systems; Software; Surgery; Vegetation; collision detection; hybrid bounding volume hierarchy; parallel computing; space-time correlations; virtual surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4577-1700-0
Type
conf
DOI
10.1109/TMEE.2011.6199541
Filename
6199541
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