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A Grassmann Framework for 4D Facial Shape Analysis
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Document type :
Article dans une revue scientifique
Title :
A Grassmann Framework for 4D Facial Shape Analysis
Author(s) :
Alashkar, Taleb [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Ben Amor, Boulbaba [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Daoudi, Mohamed [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Berretti, Stefano [Auteur]
Université de Florence
Journal title :
Pattern Recognition
Pages :
21-30
Publisher :
Elsevier
Publication date :
2016-09
ISSN :
0031-3203
English keyword(s) :
Grassmann manifold
Curvature-maps
Sparse coding
Dictionary learning
4D Face recognition
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [en]
In this paper, we investigate the contribution of dynamic evolution of 3D faces to identity recognition. To this end, we adopt a subspace representation of the flow of curvature-maps computed on 3D facial frames of a ...
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In this paper, we investigate the contribution of dynamic evolution of 3D faces to identity recognition. To this end, we adopt a subspace representation of the flow of curvature-maps computed on 3D facial frames of a sequence, after normalizing their pose. Such representation allows us to embody the shape as well as its temporal evolution within the same subspace representation. Dictionary learning and sparse coding over the space of fixed-dimensional subspaces, called Grassmann manifold, have been used to perform face recognition. We have conducted extensive experiments on the BU-4DFE dataset. The obtained results of the proposed approach provide promising results.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Université de Lille

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