A combining approach for 2D face recognition application on IV2 database - Université d'Évry Access content directly
Conference Papers Year : 2012

A combining approach for 2D face recognition application on IV2 database

Abstract

It is often difficult to deal with the problem of 2D-face recognition under unconstrained conditions. The objective of this study is to develop an original method that overcomes such obstructions. The proposed approach combines a holistic method, the Principal Component Analysis (PCA) to a local method, the Steerable Pyramid (SP). All tests were run on IV2 database, with challenging variability and including 3500 to 5000 comparisons by experiment from 315 different people. The followed protocol was established in the first evaluation campaign on 2D-face images using the multimodal IV2 database. Comparison with five submitted algorithms as PCA, LDA and LDA/Gabor provides satisfying results.
Fichier principal
Vignette du fichier
IPTA_2012.pdf (515.16 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00868714 , version 1 (01-02-2014)

Identifiers

Cite

Nefissa Khiari Hili, Sylvie Lelandais, Christophe Montagne, Kamel Hamrouni. A combining approach for 2D face recognition application on IV2 database. 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA 2012), Oct 2012, Istanbul, Turkey. pp.339--343, ⟨10.1109/IPTA.2012.6469507⟩. ⟨hal-00868714⟩
78 View
152 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More