• DocumentCode
    613209
  • Title

    A convex decomposition methodology for collision detection

  • Author

    Chowriappa, Ashirwad ; Wirz, Raul ; Ashammagari, Aditya R. ; Kesavadas, Thenkurussi

  • Author_Institution
    Virtual Reality Lab., State Univ. of New York at Buffalo, Buffalo, NY, USA
  • fYear
    2013
  • fDate
    18-20 March 2013
  • Firstpage
    57
  • Lastpage
    58
  • Abstract
    In this paper, a shape decomposition methodology to decompose the cervical spine using an approximate convex methodology is proposed. The proposed methodology identifies the most concave L-ring neighborhood in a decomposition of a surface (manifold-2) and partitions it in order to reduce its concavity. A close approximation of the original surface by a set of convex surfaces hulls is then produced.
  • Keywords
    approximation theory; haptic interfaces; medical computing; mesh generation; surgery; approximation; cervical spine decomposition; collision detection; concave L-ring neighborhood; convex decomposition methodology; convex surface hull; haptic device; shape decomposition methodology; surgical simulator; Biological system modeling; Biopsy; Haptic interfaces; Load modeling; Needles; Shape; Silicon; Cervical spine; Convex decomposition; Haptic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality (VR), 2013 IEEE
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    1087-8270
  • Print_ISBN
    978-1-4673-4795-2
  • Type

    conf

  • DOI
    10.1109/VR.2013.6549361
  • Filename
    6549361