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2D face recognition in the IV 2 evaluation campaign

Abstract : In this paper, the first evaluation campaign on 2D-face images using the multimodal IV 2 database is presented. The five appearance-based algorithms in competition are evaluated on four experimental protocols, including experiments with challenging illumination and pose variabilities. The results confirm the advantages of the Linear Discriminant Analysis (LDA) and the importance of the training set for the Principal Component Analysis (PCA) based approaches. The experiments show the robustness of the Gabor based approach combined with LDA, in order to cope with challenging face recognition conditions. This evaluation shows the interest and the richness of the IV 2 multimodal database.
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https://hal.archives-ouvertes.fr/hal-00762582
Contributor : Frédéric Davesne Connect in order to contact the contributor
Submitted on : Friday, December 7, 2012 - 1:53:49 PM
Last modification on : Monday, April 4, 2022 - 10:40:40 AM

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Anouar Mellakh, Anis Chaari, Souhila Guerfi, Johan Dhose, Joseph Colineau, et al.. 2D face recognition in the IV 2 evaluation campaign. 11th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2009), Sep 2009, Bordeaux, France. pp.24--32, ⟨10.1007/978-3-642-04697-1_3⟩. ⟨hal-00762582⟩

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