Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7419
Title: Advanced computational geometry for proximity queries of convex polyhedras
Authors: Sundaraj, Kenneth
Retnasamay, V.
kenneth@unimap.edu.my
Keywords: Computational complexity
Minimisation
Computational geometry
Sundaraj-Mazer approach
Convex polyhedras
Algorithms
Issue Date: 25-Nov-2007
Publisher: Institute of Electrical and Electronics Engineering (IEEE)
Citation: p.539-542
Series/Report no.: Proceedings of the International Conference on Intelligent and Advanced Systems (ICIAS 2007)
Abstract: This paper summarizes the prominent algorithms for computing the minimum distance between convex polyhedras. These algorithms are used in various areas such as path planning, collision detection, haptic interaction, virtual reality, etc. The algorithm of Gilbert-Johnson-Keerthi (GJK) and the algorithm of Lin-Canny (LC) are well known fast solutions to the problem. An hybrid approach which was proposed by Sundaraj-Mazer (SM) has also been shown to produce satisfactory results in terms of speed and accuracy. A review of these algorithms and their variations are presented. A critical analysis of these algorithms is also presented.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4658446
http://dspace.unimap.edu.my/123456789/7419
ISBN: 978-1-4244-1355-3
Appears in Collections:Conference Papers
Kenneth Sundaraj, Assoc. Prof. Dr.

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