inria-00450907, version 2
Ontology-Guided Mesh Segmentation
Sahar Hassan
1, 2Franck Hétroy
a, 1, 2Olivier Palombi
b, 1, 3
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.
- a – Grenoble INP
- b – Université Joseph Fourier - Grenoble I
- 1: EVASION (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- CNRS : UMR5224 – INRIA – Laboratoire Jean Kuntzmann – Institut National Polytechnique de Grenoble (INPG) – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II
- 2: MORPHEO (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- INRIA – Institut National Polytechnique de Grenoble (INPG) – Université Joseph Fourier - Grenoble I
- 3: Département de neurochirurgie
- CHU Grenoble – Université Joseph Fourier - Grenoble I
- 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
- http://hal.inria.fr/inria-00450907
- oai:hal.inria.fr:inria-00450907
- From: Franck Hétroy
- Submitted on: Wednesday, 3 February 2010 14:07:07
- Updated on: Wednesday, 26 September 2012 19:11:03








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