Collision detection for deforming linear objects using particle swarm optimization

被引：2
|
作者：
Wang Yi [1 ]
Li Wenhui [1 ]
Wang Tianzhu [1 ]
Han Dongfeng [1 ]
Meng Yu [1 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Minist Educ, Key Lab Symbol Computat & Knowledge Engineer, Changchun 130012, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING | 2006年
关键词：
collision detection; particle swarm optimization; deformation; linear object;
D O I：
10.1109/GRC.2006.1635841
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we investigate the application of particle swarm optimization in detecting collisions, including self-collisions, between deformable linear objects. This approach makes use of speciation technique to multi-local optimization in dynamic environment caused by deformation and reduces the computational needs by exploiting spatial relationships between the primitives and also frame-to-frame coherence to find solutions. Experimental results prove the efficiency and applicability of our approach.
引用
收藏
页码：465 / +
页数：2
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