• DocumentCode
    498878
  • Title

    The honeycomb-shaped spatial decomposition collision detection algorithm

  • Author

    Wang, Hong-rui ; Liu, Jing ; Liu, Xiu-Ling

  • Author_Institution
    Dept. of Electron. & Informational Eng., Hebei Univ., Baoding, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1861
  • Lastpage
    1865
  • Abstract
    At present, most of the image-based collision detection algorithms must take the convex polyhedrons as the premise. For all the concave polyhedrons, before in using of the image-based collision algorithms, it is necessary to be decomposed into the convex polyhedrons firstly. In this paper, an improved image-based collision algorithm for a detailed CD between a pair of polyhedrons based on the contour of projection and the honeycomb-shaped spatial decomposition is presented. The nature of the polyhedrons considered can be convex polyhedrons or concave polyhedrons.
  • Keywords
    matrix algebra; object detection; concave polyhedron; convex polyhedron; honeycomb-shaped spatial decomposition algorithm; image-based collision detection algorithm; Animation; Computer graphics; Cybernetics; Detection algorithms; Machine learning; Machine learning algorithms; Partitioning algorithms; Robots; Virtual environment; Virtual reality; Collision detection; Honeycomb-shaped spatial decomposition; Image-based; Threshold distance; Threshold line; contour of projection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212253
  • Filename
    5212253