Topology driven 3D mesh hierarchical segmentation
Type de document :
Communication dans un congrès avec actes
Titre :
Topology driven 3D mesh hierarchical segmentation
Auteur(s) :
Tierny, Julien [Auteur]
FOX MIIRE [LIFL]
Vandeborre, Jean-Philippe [Auteur correspondant]
FOX MIIRE [LIFL]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
FOX MIIRE [LIFL]
Vandeborre, Jean-Philippe [Auteur correspondant]
FOX MIIRE [LIFL]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Titre de la manifestation scientifique :
IEEE International Conference on Shape Modeling and Applications (Shape Modeling International - SMI)
Ville :
Lyon
Pays :
France
Date de début de la manifestation scientifique :
2007-06-13
Titre de l’ouvrage :
IEEE International Conference on Shape Modeling and Applications (Shape Modeling International - SMI)
Date de publication :
2007-06-13
Mot(s)-clé(s) en anglais :
3D-mesh
Reeb graph
segmentation
hierarchy
Reeb graph
segmentation
hierarchy
Discipline(s) HAL :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Résumé en anglais : [en]
In this paper, we propose to address the semantic- oriented 3D mesh hierarchical segmentation problem, using enhanced topological skeletons. This high level information drives both the feature boundary computation as well ...
Lire la suite >In this paper, we propose to address the semantic- oriented 3D mesh hierarchical segmentation problem, using enhanced topological skeletons. This high level information drives both the feature boundary computation as well as the feature hierarchy definition. Proposed hierarchical scheme is based on the key idea that the topology of a feature is a more important decomposition criterion than its geometry. First, the enhanced topological skeleton of the input triangulated surface is constructed. Then it is used to delimit the core of the object and to identify junction areas. This second step results in a fine segmentation of the object. Finally, a fine to coarse strategy enables a semantic-oriented hierarchical composition of features, subdividing human limbs into arms and hands for example. Method performance is evaluated according to seven criteria enumerated in latest segmentation surveys. Thanks to the high level description it uses as an input, presented approach results, with low computation times, in robust and meaningful compatible hierarchical decompositions.Lire moins >
Lire la suite >In this paper, we propose to address the semantic- oriented 3D mesh hierarchical segmentation problem, using enhanced topological skeletons. This high level information drives both the feature boundary computation as well as the feature hierarchy definition. Proposed hierarchical scheme is based on the key idea that the topology of a feature is a more important decomposition criterion than its geometry. First, the enhanced topological skeleton of the input triangulated surface is constructed. Then it is used to delimit the core of the object and to identify junction areas. This second step results in a fine segmentation of the object. Finally, a fine to coarse strategy enables a semantic-oriented hierarchical composition of features, subdividing human limbs into arms and hands for example. Method performance is evaluated according to seven criteria enumerated in latest segmentation surveys. Thanks to the high level description it uses as an input, presented approach results, with low computation times, in robust and meaningful compatible hierarchical decompositions.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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