Boosting steerable features for 2D face recognition on IV 2 databaseReportar como inadecuado




Boosting steerable features for 2D face recognition on IV 2 database - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes 2 LSTS - Laboratoire des Systèmes et du Traitement du Signal ENIT 3 SIBI IBISC - Informatique, Biologie Intégrative et Systèmes Complexes 4 IRA2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes

Abstract : In this paper, a novel approach for 2D face recognition is proposed, based on local feature extraction through a multi-resolution multi-orientation linear method, Steerable Pyramid SP and on a feature selection and classification by means of a non-linear method, Adaboost. Many strategies have been elaborated and tested on IV 2 database including challenging variability such as pose, expression, illumination and quality. To show the robustness of the method, it was compared to five algorithms submitted to the first evaluation campaign on 2D face recognition using IV 2 database. Proposed algorithm is almost among the two best ones.

Keywords : 2D face recognition Adaboost Feature extraction Feature selection Steerable pyramid





Autor: Nefissa Khiari Hili - Sylvie Lelandais - Christophe Montagne - Kamel Hamrouni -

Fuente: https://hal.archives-ouvertes.fr/



DESCARGAR PDF




Documentos relacionados