• DocumentCode
    1903497
  • Title

    Collision Detection Research for Deformable Objects

  • Author

    Zhao, Wei ; Sun, Jing

  • Author_Institution
    Inf. Technol. Acad., Jilin Agric. Univ., Changchun, China
  • Volume
    3
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    557
  • Lastpage
    561
  • Abstract
    Existing collision detection algorithms is difficult to solve deformable objects problem, and the bounding box is the most widely used collision detection algorithm in the current virtual reality technology, so we proposed the research which based on the bounding box of deformable objects. Focus on the bounding box algorithm of AABB, OBB, k-dops were compared, in order to select more suitable for deformable objects bounding box algorithm. Then the traditional K-dops introduced Snake model, which makes the algorithm closely and real-time performance are improved.
  • Keywords
    virtual reality; AABB; OBB; Snake model; bounding box algorithm; collision detection research; deformable objects problem; k-dops; virtual reality technology; Complexity theory; Computational modeling; Computers; Deformable models; Detection algorithms; Real time systems; Vectors; Collision detection; Deformable objects; K-DOPs; Snake model; bounding box;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.185
  • Filename
    6188236