• DocumentCode
    3021932
  • Title

    GKJ and clustering based algorithm for collision detection on deformable body

  • Author

    Dong, Zhi ; Liu, Shiqiu ; Li, Haozhe ; Zheng, Yunxin

  • Author_Institution
    Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    3539
  • Lastpage
    3542
  • Abstract
    This paper proposed a collision detection method for deformable body based on clustering algorithm and GKJ algorithm. This method first divide triangle meshes into convex hulls formed by multiple clusters; then utilizes GJK algorithm to solve the convex hull collision detection problem. The proposed method can increase detection efficiency, solve penetration problem, which happens when one body is small compared with triangle mesh, and provide freedom to set collision detection precision. Real-world applications provided feasibility and reliability of using this method in solving deformable body-to-body multi-points collision detection problems. It is valuable for researches in fields including 3D gaming, visual reality, physical simulation and others.
  • Keywords
    deformation; mesh generation; object detection; pattern clustering; solid modelling; statistical analysis; 3D gaming; GKJ algorithm; clustering algorithm; convex hull collision detection problem; convex hulls; deformable body; multiple clusters; penetration problem; physical simulation; triangle meshes; visual reality; Algorithm design and analysis; Clustering algorithms; Deformable models; Metals; Partitioning algorithms; Solid modeling; Three dimensional displays; 3D simulation; deformation; physics engine; real-time collision simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6001684
  • Filename
    6001684