Continuous semantic description of 3D meshes
Document type :
Article dans une revue scientifique
Title :
Continuous semantic description of 3D meshes
Author(s) :
Léon, Vincent [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bonneel, Nicolas [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Modélisation Géométrique, Géométrie Algorithmique, Fractales [GeoMod]
Lavoué, Guillaume [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Vandeborre, Jean-Philippe [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bonneel, Nicolas [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Modélisation Géométrique, Géométrie Algorithmique, Fractales [GeoMod]
Lavoué, Guillaume [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Vandeborre, Jean-Philippe [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Journal title :
Computers and Graphics
Pages :
47–56
Publisher :
Elsevier
Publication date :
2016-02
ISSN :
0097-8493
English keyword(s) :
semantics
shape descriptor
geometry processing
shape descriptor
geometry processing
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
Informatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
English abstract : [en]
We propose a novel high-level signature for continuous semantic description of 3D shapes. Given an approximately segmented and labeled 3D mesh, our descriptor consists of a set of geodesic distances to the different semantic ...
Show more >We propose a novel high-level signature for continuous semantic description of 3D shapes. Given an approximately segmented and labeled 3D mesh, our descriptor consists of a set of geodesic distances to the different semantic labels. This local multidimensional signature effectively captures both the semantic information (and relationships between labels) and the underlying geometry and topology of the shape. We illustrate its benefits on two applications: automatic semantic labeling, seen as an inverse problem along with supervised-learning, and semantic-aware shape editing for which the isocurves of our harmonic description are particularly relevant .Show less >
Show more >We propose a novel high-level signature for continuous semantic description of 3D shapes. Given an approximately segmented and labeled 3D mesh, our descriptor consists of a set of geodesic distances to the different semantic labels. This local multidimensional signature effectively captures both the semantic information (and relationships between labels) and the underlying geometry and topology of the shape. We illustrate its benefits on two applications: automatic semantic labeling, seen as an inverse problem along with supervised-learning, and semantic-aware shape editing for which the isocurves of our harmonic description are particularly relevant .Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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