Ecole d'ingénieur et centre de recherche en Sciences du numérique

3D assisted face recognition: Dealing with expression variations

Erdogmus, Nesli; Dugelay, Jean-Luc

IEEE Transactions on Information Forensics and Security, Volume 9, N°5, May 2014, ISSN: 1556-6013

One of the most critical sources of variation in face recognition is facial expressions, especially in the frequent case where only a single sample per person is available for enrollment. Methods that improve the accuracy in the presence of such variations are still required for a reliable authentication system. In this paper, we address this problem with an analysis-bysynthesis based scheme, in which a number of synthetic face images with different expressions are produced. For this purpose, an animatable 3D model is generated for each user based on 17 automatically located landmark points. The contribution of these additional images in terms of the recognition performance is evaluated with 3 different techniques (PCA, LDA and LBP) on FRGC and BOSPHORUS 3D face databases. Significant improvements are achieved in face recognition accuracies, for each database and algorithm.

Document Doi Bibtex

Titre:3D assisted face recognition: Dealing with expression variations
Mots Clés:Face recognition, facial expressions, 3D facial animation
Type:Journal
Langue:English
Ville:
Date:
Département:Sécurité numérique
Eurecom ref:4277
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Bibtex: @article{EURECOM+4277, doi = {http://dx.doi.org/10.1109/TIFS.2014.2309851}, year = {2014}, month = {04}, title = {3{D} assisted face recognition: {D}ealing with expression variations}, author = {{E}rdogmus, {N}esli and {D}ugelay, {J}ean-{L}uc}, journal = {{IEEE} {T}ransactions on {I}nformation {F}orensics and {S}ecurity, {V}olume 9, {N}°5, {M}ay 2014, {ISSN}: 1556-6013}, url = {http://www.eurecom.fr/publication/4277} }
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