Title :
Advanced computational geometry for proximity queries of convex polyhedras
Author :
Sundaraj, K. ; Retnasamy, V.
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Jejawi
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.
Keywords :
computational complexity; computational geometry; minimisation; Gilbert-Johnson-Keerthi algorithm; Lin-Canny algorithm; Sundaraj-Mazer approach; computational complexity; computational geometry; convex polyhedra; minimum distance problem; proximity query; Benchmark testing; Computational geometry; Computational intelligence; Intelligent systems; Iterative algorithms; Mechatronics; Path planning; Samarium; Solid modeling; Virtual reality;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658446