DocumentCode :
2548535
Title :
The Research of Collision Detection Algorithm Based on Spatial Subdivision
Author :
Jin, Hanjun ; Liu, Zhiliang ; Wu, Tianzhen ; Wang, Yanxia
Author_Institution :
Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan
Volume :
2
fYear :
2009
fDate :
22-24 Jan. 2009
Firstpage :
452
Lastpage :
455
Abstract :
Interactive environments for dynamically deforming objects play an important role in virtual environment. These environments require fast and efficient collision detection handling techniques. In this paper, we propose a new collision detection algorithm based on spatial subdivision, which can solve the collision detection problems between deformable objects. The object space is uniformly subdivided into a series of voxels, and then determines whether collision detection will happen by constructing binary sort tree. Based on distribution density of objects, an optimal method is proposed to compute the size of voxels in uniform division, compared to other collision detection algorithm through a serial of tests, the results show that the algorithm this paper proposes is superior in performance when massive objects are uniformly distributed; Besides, the performance of algorithm is more stable than other algorithms in consideration of variable correlation among objects.
Keywords :
computer animation; tree data structures; virtual reality; binary sort tree; collision detection algorithm; computer animation; dynamic object deformation; interactive environment; spatial subdivision; virtual environment; Animation; Computational geometry; Computational modeling; Computer simulation; Deformable models; Detection algorithms; Object detection; Solid modeling; Surgery; Virtual environment; collision detetion; uniform subdivision.; virtual environment; voxels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
Type :
conf
DOI :
10.1109/ICCET.2009.80
Filename :
4769642
Link To Document :
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