A comparative study of existing metrics ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
A comparative study of existing metrics for 3D-mesh segmentation evaluation
Auteur(s) :
Benhabiles, Halim [Auteur]
FOX MIIRE [LIFL]
Vandeborre, Jean Philippe [Auteur]
FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
Lavoué, Guillaume [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Vandeborre, Jean Philippe [Auteur]
FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
Lavoué, Guillaume [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
Titre de la revue :
The Visual Computer
Pagination :
1451-1466
Éditeur :
Springer Verlag
Date de publication :
2010-12
ISSN :
0178-2789
Mot(s)-clé(s) en anglais :
3D-mesh segmentation
ground-truth
similarity metric
subjective tests
evaluation
ground-truth
similarity metric
subjective tests
evaluation
Discipline(s) HAL :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Multimédia [cs.MM]
Informatique [cs]/Multimédia [cs.MM]
Résumé en anglais : [en]
In this paper, we present an extensive experimental comparison of existing similarity metrics addressing the quality assessment problem of mesh seg- mentation. We introduce a new metric named the 3D Normalized Probabilistic ...
Lire la suite >In this paper, we present an extensive experimental comparison of existing similarity metrics addressing the quality assessment problem of mesh seg- mentation. We introduce a new metric named the 3D Normalized Probabilistic Rand Index (3D-NPRI) which outperforms the others in terms of properties and discriminative power. This comparative study includes a subjective experiment with human observers and is based on a corpus of manually segmented models. This corpus is an improved version of our previous one. It is composed of a set of 3D-mesh models grouped in different classes associated with several manual ground-truth segmentations. Finally the 3D-NPRI is applied to evaluate six recent segmentation algorithms using our corpus and the Chen's et al. corpus.Lire moins >
Lire la suite >In this paper, we present an extensive experimental comparison of existing similarity metrics addressing the quality assessment problem of mesh seg- mentation. We introduce a new metric named the 3D Normalized Probabilistic Rand Index (3D-NPRI) which outperforms the others in terms of properties and discriminative power. This comparative study includes a subjective experiment with human observers and is based on a corpus of manually segmented models. This corpus is an improved version of our previous one. It is composed of a set of 3D-mesh models grouped in different classes associated with several manual ground-truth segmentations. Finally the 3D-NPRI is applied to evaluate six recent segmentation algorithms using our corpus and the Chen's et al. corpus.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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