Triangular Similarity Metric Learning for Face Verification

Lilei Zheng 1 Khalid Idrissi 1 Christophe Garcia 1 Stefan Duffner 1 Atilla Baskurt 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : We propose an efficient linear similarity metric learning method for face verification called Triangular Similarity Metric Learning (TSML). Compared with the relevant stateof-the-art work, this method improves the efficiency of learning the cosine similarity while keeping effectiveness. Concretely, we present a geometrical interpretation based on the triangle inequality for developing a cost function and its efficient gradient function. We formulate the cost function as an optimization problem and solve it with the advanced L-BFGS optimization algorithm. We perform extensive experiments on the LFW data set using four descriptors: LBP, OCLBP, SIFT and Gabor wavelets. Moreover, for the optimization problem, we test two kinds of initialization: the identity matrix and the WCCN matrix. Experimental results demonstrate that both of the two initializations are efficient and that our method achieves the state-of-the-art performance on the problem of face verification.
Type de document :
Communication dans un congrès
11th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2015), May 2015, Ljubljana, Slovenia
Liste complète des métadonnées

Littérature citée [36 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01158908
Contributeur : Lilei Zheng <>
Soumis le : mardi 2 juin 2015 - 10:31:37
Dernière modification le : jeudi 19 avril 2018 - 14:38:05
Document(s) archivé(s) le : mardi 15 septembre 2015 - 09:22:24

Fichier

Liris-7042 (1).pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01158908, version 1

Citation

Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt. Triangular Similarity Metric Learning for Face Verification. 11th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2015), May 2015, Ljubljana, Slovenia. 〈hal-01158908〉

Partager

Métriques

Consultations de la notice

220

Téléchargements de fichiers

332