A convex decomposition methodology for collision detection

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationIEEE Virtual Reality Conference 2013, VR 2013 - Proceedings
Number of pages2
StatePublished - 2013
Externally publishedYes
Event20th IEEE Virtual Reality Conference, VR 2013 - Orlando, FL, United States
Duration: Mar 16 2013Mar 20 2013

Publication series

NameProceedings - IEEE Virtual Reality


Other20th IEEE Virtual Reality Conference, VR 2013
Country/TerritoryUnited States
CityOrlando, FL


  • Cervical spine
  • Convex decomposition
  • Haptic

ASJC Scopus subject areas

  • General Engineering


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