A subjective experiment for 3D-mesh segmentation evaluation

Benhabiles, Halim; Lavoué, Guillaume; Vandeborre, Jean Philippe; Daoudi, Mohamed

Type de document :

Communication dans un congrès avec actes

Titre :

A subjective experiment for 3D-mesh segmentation evaluation

Auteur(s) :

Benhabiles, Halim [Auteur]

FOX MIIRE [LIFL]
Lavoué, Guillaume [Auteur]
Geometry Processing and Constrained Optimization [M2DisCo]
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 :

IEEE International Workshop on Multimedia Signal Processing (MMSP'2010)

Ville :

Saint-Malo

Pays :

France

Date de début de la manifestation scientifique :

2010-10-04

Éditeur :

IEEE

Date de publication :

2010-10

Discipline(s) HAL :

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

Résumé en anglais : [en]

In this paper we present a subjective quality assessment experiment for 3D-mesh segmentation. For this end, we carefully designed a protocol with respect to several factors namely the rendering conditions, the possible ...
Lire la suite >In this paper we present a subjective quality assessment experiment for 3D-mesh segmentation. For this end, we carefully designed a protocol with respect to several factors namely the rendering conditions, the possible interactions, the rating range, and the number of human subjects. To carry out the subjective experiment, more than 40 human observers have rated a set of 250 segmentation results issued from various algorithms. The obtained Mean Opinion Scores, which represent the human subjects' point of view toward the quality of each segmentation, have then been used to evaluate both the quality of automatic segmentation algorithms and the quality of similarity metrics used in recent mesh segmentation benchmarking systems.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

3D Models And Dynamic models Representation And Segmentation

Collections :