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Titre du document / Document title

Face detection using quantum-inspired evolutionary algorithm

Auteur(s) / Author(s)

JANG Jun-Su (1) ; HAN Kuk-Hyun (2) ; KIM Jong-Hwan (1) ;

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

(1) Dept. of EECS, Korea Advanced Institute of Science and Technology (KAIST), Guseong-dong, Yuseong-gu, Daejeon, 305-701, COREE, REPUBLIQUE DE
(2) Digital Media R&D Center, Samsung Electronics Co., Ltd., 416, Maetan-3dong, Youngtong-gu, Suwon, Gyeonggi, 443-742, COREE, REPUBLIQUE DE

Résumé / Abstract

This paper proposes a new face detection system using Quantum-inspired Evolutionary Algorithm (QEA). The proposed detection system is based on elliptical blobs and Principal Components Analysis (PCA). The elliptical blobs in the directional image are used to find the face candidate regions, and then PCA and QEA are employed to verify faces. Although PCA related algorithms have shown outstanding performance, there still exist some problems such as optimal decision boundary or learning capabilities. By PCA, we can obtain the optimal basis but they may not be the optimal ones for discriminating faces from non-faces. Moreover, a threshold value should be selected properly considering the success rate and false alarm rate. To solve these problems, QEA is employed to find out the optimal decision boundary under the predetermined threshold value which distinguishes between face images and non-face images. The proposed system provides learning capability by reconstructing the training database, which means that system performance can be improved as failure trials occur.

Source / Source

Congrès
Proceedings of the 2004 congress on evolutionary computation :   ( CEC 2004, June 19-23, 2004, Portland OR, USA )
Congress on evolutionary computation, Portland OR , ETATS-UNIS (19/06/2004)
2004  [Note(s) : XXX-2371 p., ] (16 ref.) ISBN 0-7803-8515-2 ;  Illustration : Illustration ;

Langue / Language

Anglais

Editeur / Publisher

IEEE, Piscataway NJ, ETATS-UNIS  (2004) (Monographie)

Mots-clés anglais / English Keywords

Principal component analysis

;

Genetic algorithm

;

Evolutionary algorithm

;

Performance evaluation

;

False alarm rate

;

Optimal decision

;

Quantum system

;

Quantum computation

;

Database

;

Decision making

;

Face recognition

;

Facies

;

Mots-clés français / French Keywords

Analyse composante principale

;

Algorithme génétique

;

Algorithme évolutionniste

;

Evaluation performance

;

Taux fausse alarme

;

Décision optimale

;

Système quantique

;

Calcul quantique

;

Base donnée

;

Prise décision

;

Reconnaissance visage

;

Faciès

;

Mots-clés espagnols / Spanish Keywords

Análisis componente principal

;

Algoritmo genético

;

Algoritmo evoluciónista

;

Evaluación prestación

;

Porcentaje falsa alarma

;

Decisión optimal

;

Sistema cuántico

;

Calculo cuántico

;

Base dato

;

Toma decision

;

Facies

;

Localisation / Location

INIST-CNRS, Cote INIST : Y 38575(1), 35400012451762.2900

Nº notice refdoc (ud4) : 17480135



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