• DocumentCode
    3109116
  • Title

    Hierarchy Techniques in Self-Collision Detection for Cloth Simulation

  • Author

    Shapri, Nur Saadah Mohd ; Bade, Abdullah ; Daman, Daut

  • Author_Institution
    Dept. of Comput. Graphics & Multimedia, Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    325
  • Lastpage
    329
  • Abstract
    Simulating the natural motion of cloth has attracted many researchers interest to create high quality of cloth simulation in realistic virtual environment applications such as games, animation, virtual reality and medical. Generally, to simulate realistic, interactive, stable, complex and handle the collision detection for cloth simulation is a very complex tasks. Self-collision detection is the most time-consuming part in cloth simulation. Since all particles are on the surface, all particles may potentially collide with each other. More analysis of the method to speed up the collision detection that must be resolved in order to come out with good collision detection algorithm has been done. This paper tries to provide the efficiency of bounding volume hierarchy techniques for building and traversing these hierarchies. The heuristics can be speed up the hierarchy update that allows pruning of the hierarchy and enables to reduce the number of triangles with a minimum computational cost.
  • Keywords
    computer vision; digital simulation; object detection; virtual reality; bounding volume hierarchy techniques; cloth simulation; realistic virtual environment applications; self-collision detection algorithm; virtual reality; Computational efficiency; Computational modeling; Computer graphics; Computer science; Computer simulation; Information systems; Medical simulation; Multimedia systems; Springs; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision, 2009. ICMV '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-0-7695-3944-7
  • Electronic_ISBN
    978-1-4244-5645-1
  • Type

    conf

  • DOI
    10.1109/ICMV.2009.23
  • Filename
    5381138