Titre :

SHREC'12 Track: 3D mesh segmentation

Auteur(s) :

Lavoué, Guillaume [Auteur correspondant]
Geometry Processing and Constrained Optimization [M2DisCo]
Vandeborre, Jean Philippe [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Benhabiles, Halim [Auteur]
Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
Daoudi, Mohamed [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Huebner, Kai [Auteur]
Computer Vision & Active Perception lab. [CVAP]
Mortara, Michela [Auteur]
Istituto di Matematica Applicata e Tecnologie Informatiche [IMATI]
Spagnuolo, Michela [Auteur]

Titre de la manifestation scientifique :

Eurographics 2012 Workshop on 3D Object Retrieval

Ville :

Cagliari

Pays :

Italie

Date de début de la manifestation scientifique :

2012-05-13

Date de publication :

2012-05-13

Mot(s)-clé(s) en anglais :

3D-mesh
segmentation
benchmark
contest
SHREC

Discipline(s) HAL :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

Résumé en anglais : [en]

3D mesh segmentation is a fundamental process in many applications such as shape retrieval, compression, deformation, etc. The objective of this track is to evaluate the performance of recent segmentation methods using a ...
Lire la suite >3D mesh segmentation is a fundamental process in many applications such as shape retrieval, compression, deformation, etc. The objective of this track is to evaluate the performance of recent segmentation methods using a ground-truth corpus and an accurate similarity metric. The ground-truth corpus is composed of 28 watertight models, grouped in five classes (animal, furniture, hand, human and bust) and each associated with 4 ground-truth segmentations done by human subjects. 3 research groups have participated to this track, the accuracy of their segmentation algorithms have been evaluated and compared with 4 other state-of-the-art methods.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

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

Source :

Harvested from HAL