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inria-00450907, version 2

Ontology-Guided Mesh Segmentation

Sahar Hassan (Author to contact preferably) 12, Franck Hétroy () a12, Olivier Palombi () b13

FOCUS K3D Conference on Semantic 3D Media and Content (2010) 5

Abstract: In this paper we present a mesh segmentation technique guided by an a priori knowledge. This knowledge is organized in an ontology. The work is done in an anatomical context, the segmentation aims at identifying different parts of an anatomical organ using their geometric shape. The ontology was extended to include an approximation of the geometric shape of some anatomical parts. The ontology then provides the parameters needed to segment the input mesh corresponding to an organ. The segmentation is then repeated following the hierarchy of the ontology to label the different parts and sub-parts of the starting organ.

  • Icone de femur_seg.png
  • Icone de schema.png
  • Domain : Computer Science/Computer Graphics and Virtual Reality
    Computer Science/Computational Geometry
  • Keywords : mesh segmentation – semantic knowledge – ontology – labeling
  • Available versions :  v1 (2010-01-27) v2 (2010-02-03)
 
  • inria-00450907, version 2
  • oai:hal.inria.fr:inria-00450907
  • From: 
  • Submitted on: Wednesday, 3 February 2010 14:07:07
  • Updated on: Wednesday, 26 September 2012 19:11:03
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