DocumentCode :
1903497
Title :
Collision Detection Research for Deformable Objects
Author :
Zhao, Wei ; Sun, Jing
Author_Institution :
Inf. Technol. Acad., Jilin Agric. Univ., Changchun, China
Volume :
3
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
557
Lastpage :
561
Abstract :
Existing collision detection algorithms is difficult to solve deformable objects problem, and the bounding box is the most widely used collision detection algorithm in the current virtual reality technology, so we proposed the research which based on the bounding box of deformable objects. Focus on the bounding box algorithm of AABB, OBB, k-dops were compared, in order to select more suitable for deformable objects bounding box algorithm. Then the traditional K-dops introduced Snake model, which makes the algorithm closely and real-time performance are improved.
Keywords :
virtual reality; AABB; OBB; Snake model; bounding box algorithm; collision detection research; deformable objects problem; k-dops; virtual reality technology; Complexity theory; Computational modeling; Computers; Deformable models; Detection algorithms; Real time systems; Vectors; Collision detection; Deformable objects; K-DOPs; Snake model; bounding box;
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.2012.185
Filename :
6188236
Link To Document :
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