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Ontology-Guided Mesh Segmentation

Sahar Hassan 1, * Franck Hétroy 1 Olivier Palombi 1, 2 
* Corresponding author
1 EVASION - Virtual environments for animation and image synthesis of natural objects
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
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.
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Submitted on : Wednesday, February 3, 2010 - 2:07:07 PM
Last modification on : Friday, February 4, 2022 - 3:23:45 AM
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  • HAL Id : inria-00450907, version 2



Sahar Hassan, Franck Hétroy, Olivier Palombi. Ontology-Guided Mesh Segmentation. FOCUS K3D Conference on Semantic 3D Media and Content, FOCUS K3D, Feb 2010, Sophia Antipolis, France. pp.5. ⟨inria-00450907v2⟩



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