• DocumentCode
    3203137
  • 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
  • fYear
    2007
  • fDate
    25-28 Nov. 2007
  • Firstpage
    539
  • Lastpage
    542
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ICIAS.2007.4658446
  • Filename
    4658446