Fast and precise kinematic skeleton ...
Type de document :
Communication dans un congrès avec actes
Titre :
Fast and precise kinematic skeleton extraction of 3D dynamic meshes
Auteur(s) :
Tierny, Julien [Auteur]
FOX MIIRE [LIFL]
Vandeborre, Jean Philippe [Auteur correspondant]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Daoudi, Mohamed [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
FOX MIIRE [LIFL]
Vandeborre, Jean Philippe [Auteur correspondant]

Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Daoudi, Mohamed [Auteur]

Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Éditeur(s) ou directeur(s) scientifique(s) :
IEEE
Titre de la manifestation scientifique :
19th IEEE International Conference on Pattern Recognition (ICPR 2008)
Ville :
Tampa, Florida
Pays :
Etats-Unis d'Amérique
Date de début de la manifestation scientifique :
2008-12-08
Titre de l’ouvrage :
19th IEEE International Conference on Pattern Recognition (ICPR 2008)
Éditeur :
IEEE
Date de publication :
2008-12
Discipline(s) HAL :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Résumé en anglais : [en]
Shape skeleton extraction is a fundamental preprocessing task in shape-based pattern recognition. This paper presents a new algorithm for fast and precise extraction of kinematic skeletons of 3D dynamic surface meshes. ...
Lire la suite >Shape skeleton extraction is a fundamental preprocessing task in shape-based pattern recognition. This paper presents a new algorithm for fast and precise extraction of kinematic skeletons of 3D dynamic surface meshes. Unlike previous approaches, surface motions are characterized by the mesh local length deviation induced by its transformation through time. Then a static skeleton extraction algorithm based on Reeb graphs exploits this latter information to extract the kinematic skeleton. This hybrid static and dynamic shape analysis enables the precise detection of objects' articulations as well as potentially-articulated immobile shape features. Experiments show that the proposed algorithm is faster than previous techniques and still achieves better accuracy.Lire moins >
Lire la suite >Shape skeleton extraction is a fundamental preprocessing task in shape-based pattern recognition. This paper presents a new algorithm for fast and precise extraction of kinematic skeletons of 3D dynamic surface meshes. Unlike previous approaches, surface motions are characterized by the mesh local length deviation induced by its transformation through time. Then a static skeleton extraction algorithm based on Reeb graphs exploits this latter information to extract the kinematic skeleton. This hybrid static and dynamic shape analysis enables the precise detection of objects' articulations as well as potentially-articulated immobile shape features. Experiments show that the proposed algorithm is faster than previous techniques and still achieves better accuracy.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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