NDLI: An Efficiency Collision Detection Algorithm for Rigid Objects

Content Provider	IEEE Xplore Digital Library
Author	Yu Feng Yongbo Yang Zhendong Xu Yanchun Liu
Copyright Year	2012
Abstract	Surgery planning often requires a precise evaluation of rigid-objects collisions and movements recently. A 3D CT reconstruction can be used to precisely and efficiently detect the virtual rigid objects for assurance and reliability analysis. The common methods of collision detection in computer graphics are developed only for general-purpose applications. The employment of such methods cannot handle the thighbone, which is commonly seen. In this paper, we present an efficiency collision detection scheme that takes advantage of the relative proximity. In order to optimize the collision detection among very-elongated rigid objects, a novel nearest-neighbor list method is proposed. This method is based on a bounding-oriented box. The Efficiency of our proposed algorithm is extensively tested before experimented various scenarios for method vilification.
Starting Page	42
Ending Page	46
File Size	215703
Page Count	5
File Format	PDF
ISBN	9781467316835
e-ISBN	9780769547053
DOI	10.1109/ICICSE.2012.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	collision detection rigid objects Computational modeling Calendars joint modeling Numerical models Mathematical model Joints Equations Hip
Content Type	Text
Resource Type	Article

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