Multimodal 2d+3d multi-descriptor tensor ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Multimodal 2d+3d multi-descriptor tensor for face verification
Auteur(s) :
Saoud, Adel [Auteur correspondant]
University of Biskra Mohamed Khider
Oumane, Abdelmalik [Auteur]
University of Biskra Mohamed Khider
Ouafi, Abdelkrim [Auteur]
University of Biskra Mohamed Khider
Tahleb Ahmed, Abdelmalik [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
University of Biskra Mohamed Khider
Oumane, Abdelmalik [Auteur]
University of Biskra Mohamed Khider
Ouafi, Abdelkrim [Auteur]
University of Biskra Mohamed Khider
Tahleb Ahmed, Abdelmalik [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Titre de la revue :
Multimedia Tools and Applications
Pagination :
23071-23092
Éditeur :
Springer Verlag
Date de publication :
2020-08
ISSN :
1380-7501
Mot(s)-clé(s) en anglais :
Face verification
Multilinear principal component analysis (MPCA)
Multilinear discriminant analysis (MDA)
Dimensionality reduction
Subspace tensor
Fusion 2D-3D modalities
Multilinear principal component analysis (MPCA)
Multilinear discriminant analysis (MDA)
Dimensionality reduction
Subspace tensor
Fusion 2D-3D modalities
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
Résumé en anglais : [en]
In the last few years, there is a growing interest in multilinear subspace learning for dimensionality reduction of multidimensional data. In this paper, we proposed a multimodal 2D + 3D face verification system based on ...
Lire la suite >In the last few years, there is a growing interest in multilinear subspace learning for dimensionality reduction of multidimensional data. In this paper, we proposed a multimodal 2D + 3D face verification system based on Multilinear Discriminant Analysis MDA integrating Within Class Covariance Normalization WCCN technique. Histograms of local descriptor applied to features extraction from 2D and 3D face images are concatenated and organized as a tensor design. This tensor is then reduced and projected using MDA technique into a lower subspace. WCCN technique is used to reduce the effect of the intra class directions using normalisation transform and to enhance the discrimination power of the MDA. Our experiments were carried out on the three biggest databases: FRGC v2.0, Bosphorus and CASIA 3D under expressions, occlusions and pose variations. Experimental results showed the superiority of the proposed approach in term of verification rate when compared to the state of the art method.Lire moins >
Lire la suite >In the last few years, there is a growing interest in multilinear subspace learning for dimensionality reduction of multidimensional data. In this paper, we proposed a multimodal 2D + 3D face verification system based on Multilinear Discriminant Analysis MDA integrating Within Class Covariance Normalization WCCN technique. Histograms of local descriptor applied to features extraction from 2D and 3D face images are concatenated and organized as a tensor design. This tensor is then reduced and projected using MDA technique into a lower subspace. WCCN technique is used to reduce the effect of the intra class directions using normalisation transform and to enhance the discrimination power of the MDA. Our experiments were carried out on the three biggest databases: FRGC v2.0, Bosphorus and CASIA 3D under expressions, occlusions and pose variations. Experimental results showed the superiority of the proposed approach in term of verification rate when compared to the state of the art method.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Source :