Titre :

A new 3D-matching method of non-rigid and partially similar models using curve analysis

Auteur(s) :

Tabia, Hedi [Auteur]
LAGIS-SI
Daoudi, Mohamed [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Vandeborre, Jean Philippe [Auteur correspondant]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Colot, Olivier [Auteur]
LAGIS-SI

Titre de la revue :

IEEE Transactions on Pattern Analysis and Machine Intelligence

Pagination :

852-858

Éditeur :

Institute of Electrical and Electronics Engineers

Date de publication :

2011-04

ISSN :

0162-8828

Mot(s)-clé(s) en anglais :

3D-shape matching
Curves analysis
Belief functions
Feature points

Discipline(s) HAL :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Multimédia [cs.MM]
Informatique [cs]/Recherche d'information [cs.IR]

Résumé en anglais : [en]

The 3D-shape matching problem plays a crucial role in many applications such as indexing or modeling by example. Here, we present a novel approach to match 3D-objects in presence of non-rigid transformation and partially ...
Lire la suite >The 3D-shape matching problem plays a crucial role in many applications such as indexing or modeling by example. Here, we present a novel approach to match 3D-objects in presence of non-rigid transformation and partially similar models. In this paper, we use the representation of surfaces by 3D-curves extracted around feature points. Indeed, surfaces are represented with a collection of closed curves and tools from shape analysis of curves are applied to analyze and to compare curves. The belief functions are used to define a global distance between 3D-objects. The experimental results obtained on the TOSCA and the SHREC07 datasets show that the system efficiently performs in retrieving similar 3D-models.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL