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New Bounding Volume Approach for Detecting Collision in Computer Animation

Abdullah Bade, and Norhaida Suaib, and Abdullah Mohd. Zin, and Tengku Mohd. Tengku Sembok, (2006) New Bounding Volume Approach for Detecting Collision in Computer Animation. Malaysian Journal of Computer Science, 19 (2). pp. 127-140. ISSN 0127-9084

Full text not available from this repository.

Official URL: http://mjcs.fsktm.um.edu.my/detail.asp?AID=393

Affiliations

Universiti Teknologi Malaysia
Universiti Kebangsaan Malaysia

Abstract

This paper presents a method for fast-approximate collision detection between 3D models S undergoing rigid body motion known as oriented convex polyhedra R(S). By enclosing 3D models tightly, the fineness of detected collision can be enhanced. It is known that the large number of void areas which belongs to any 3D bounding volumes B(S) can affect the accuracy of collision detection system. Therefore, a way to compute R(S) using intersection of a set of halfspaces is described. The directions of these halfspaces are generated from calculating covariance matrix. To develop the tightest R(S), the quality of abutting corners by implementing Tribox Bounds method is improved. To detect collision between R(S), a straightforward approach by simply checking its interval pairs in local space system is performed. The proposed approach was implemented and a number of comparisons in terms of time and recorded collision with other B(S) were performed. From the conducted tests, R(S) performs well and might be a possible choice for detecting collision of 3D models undergoing rigid body motion.

Item Type:Journal
Keywords:Bounding Volumes, Collision Detection, Virtual Environments
Subjects:Q Science
ID Code:339

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