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Titre du document / Document title

Face recognition based on local steerable feature and random subspace LDA

Auteur(s) / Author(s)

XIAOXUN ZHANG (1) ; YUNDE JIA (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, CHINE

Résumé / Abstract

Both local features and holistic features are critical for face recognition and have different contributions. In this paper, we first propose a novel local steerable feature extracted from the face image using steerable filter for face representation. Discriminant information provided by steerable filter is locally stable with respect to scale, noise and brightness changes and it is semi-invariant under common image deformations and distinctive enough to provide useful identity information. We then present a new null space method based on random subspace. Linear Discriminant Analysis (LDA) is a popular holistic feature extraction technique for face recognition. Null Space LDA (NLDA) and Fisherface are adopted to extract global feature in the steerable feature space. Based on random subspaces, multiple NLDA classifiers are constructed under the most suitable situation for the null space. NLDA takes full advantage of the null space, while Fisherface extracts the most discriminant information in the principal subspace. Fisherface classifiers are constructed from the same set of random subspaces for NLDA classifiers. In each random subspace, Fisherface and NLDA share a unique eigen-analysis. There is no redundancy between such two kinds of complementary classifiers. Finally, all of the classifiers are integrated using a fusion rule. Experimental results on different face data sets demonstrate the effectiveness of the proposed method.

Revue / Journal Title

Lecture notes in computer science    ISSN  0302-9743 

Source / Source

Congrès
Analysis and modelling of faces and gestures :   ( Second international workshop, AMFG 2005, Beijing, China, October 16, 2005, proceedings )
Analysis and modelling of faces and gestures. International workshop No2, Beijing , CHINE (16/10/2005)
2005  , vol. 3723, pp. 170-183[Note(s) : XI-424 p., ] [Document : 14 p.] (18 ref.) ISBN 3-540-29229-2 ;

Langue / Language

Anglais

Editeur / Publisher

Springer, Berlin, ALLEMAGNE  (1973) (Revue)
Springer, New York, NY, ETATS-UNIS  (2005) (Monographie)

Mots-clés anglais / English Keywords

Random set

;

Subspace method

;

Invariant

;

Filter

;

Pattern extraction

;

Vector space

;

Probabilistic approach

;

Feature extraction

;

Brightness

;

Redundancy

;

Classification

;

Discriminant analysis

;

Useful information

;

Image processing

;

Face recognition

;

Pattern recognition

;

Facies

;

Mots-clés français / French Keywords

Ensemble aléatoire

;

Méthode sous espace

;

Invariant

;

Filtre

;

Extraction forme

;

Espace vectoriel

;

Approche probabiliste

;

Extraction caractéristique

;

Brillance

;

Redondance

;

Classification

;

Analyse discriminante

;

Information utile

;

Traitement image

;

Reconnaissance visage

;

Reconnaissance forme

;

Faciès

;

Mots-clés espagnols / Spanish Keywords

Conjunto aleatorio

;

Método subespacio

;

Invariante

;

Filtro

;

Extracción forma

;

Espacio vectorial

;

Enfoque probabilista

;

Brillantez

;

Redundancia

;

Clasificación

;

Análisis discriminante

;

Información útil

;

Procesamiento imagen

;

Reconocimiento patrón

;

Facies

;

Localisation / Location

INIST-CNRS, Cote INIST : 16343, 35400012451978.0130

Nº notice refdoc (ud4) : 17265825



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