Ontology-Guided Mesh Segmentation - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2010

Ontology-Guided Mesh Segmentation

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.
Fichier principal
Vignette du fichier
article.pdf (268.02 Ko) Télécharger le fichier
Vignette du fichier
femur_seg.png (170.34 Ko) Télécharger le fichier
Vignette du fichier
schema.png (30.99 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Format Figure, Image
Format Figure, Image
Loading...

Dates and versions

inria-00450907 , version 1 (27-01-2010)
inria-00450907 , version 2 (03-02-2010)

Identifiers

  • HAL Id : inria-00450907 , version 2

Cite

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⟩
499 View
1100 Download

Share

More