DocumentCode :
2466235
Title :
Hybrid Collision Detection for Interactive Large-Scale Environments
Author :
Liang, Xiao ; Gong, Jie ; Tang, Lindun ; Liu, Ying
Author_Institution :
Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
1061
Lastpage :
1064
Abstract :
Real-time collision detection is a challenging problem in large-scale virtual environments. We present a hybrid bounding volume hierarchy (HBVH) based framework aiming to reduce numerous unnecessary overlap tests in collision detection. Temporal coherence is also exploited to accelerate algorithm. Furthermore, we optimize our algorithm through SIMD (single instruction, multiple data) instruction-level parallelism. Our experiment shows that the algorithm works well for the purpose of interactive simulation of massive dynamic scenes, not only for rigid bodies, but also deformable objects.
Keywords :
parallel processing; real-time systems; virtual reality; SIMD instruction-level parallelism; hybrid bounding volume hierarchy; hybrid collision detection; interactive large-scale environments; large-scale virtual environments; real-time collision detection; Acceleration; Approximation algorithms; Coherence; Computer science; Educational institutions; Heuristic algorithms; Petroleum; SIMD instructions; hybrid bounding volume hierarchy; interaction; real-time collision detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
Type :
conf
DOI :
10.1109/ICCIS.2010.262
Filename :
5709443
Link To Document :
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