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