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Titolo:
Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof
Autore:
Chen, LF; Liao, HYM; Lin, JC; Han, CC;
Indirizzi:
Acad Sinica, Inst Informat Sci, Taipei 11529, Taiwan Acad Sinica Taipei Taiwan 11529 Inst Informat Sci, Taipei 11529, Taiwan Natl Chiao Tung Univ, Dept Comp & Informat Sci, Hsinchu 30050, Taiwan NatlChiao Tung Univ Hsinchu Taiwan 30050 mat Sci, Hsinchu 30050, Taiwan
Titolo Testata:
PATTERN RECOGNITION
fascicolo: 7, volume: 34, anno: 2001,
pagine: 1393 - 1403
SICI:
0031-3203(200107)34:7<1393:WRIASF>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Soggetto:
FEATURE-EXTRACTION; NEURAL-NETWORK; EIGENFACES;
Keywords:
statistics-based face recognition; face-only database; hypothesis testing;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Liao, HYM Acad Sinica, Inst Informat Sci, 128 Sinica Rd,Sec 2, Taipei 11529, Taiwan Acad Sinica 128 Sinica Rd,Sec 2 Taipei Taiwan 11529 529, Taiwan
Citazione:
L.F. Chen et al., "Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof", PATT RECOG, 34(7), 2001, pp. 1393-1403

Abstract

It is evident that the process of face recognition, by definition, should be based on the content of a face. The problem is: what is a "face"? Recently, a state-of-the-art statistics-based face recognition system, the PCA plus LDA approach, has been proposed (Swets and Weng, IEEE Trans. pattern. Anal. Mach. Intell. 18 (8) (1996) 831-836). However, thr authors used "face" images that included hail, shoulders, face and background. Our intuition tells us that only a recognition process based on a "pure" Face portion can be called face recognition. The mixture of irrelevant data may result in an incorrect set of decision boundaries. In this paper, we propose a statistics-based technique to quantitatively prove our assertion. For the purpose ofevaluating how the different portions of a Face image will influence the recognition results, a hypothesis testing model is proposed. We then implement the above mentioned face recognition system and use the proposed hypothesis testing model to evaluate the system. Experimental results show that the influence of the "real"-face portion is much less than that of the nonface portion. This outcome confirms quantitatively that recognition in a statistics-based face recognition system should be based solely on the "pure" face portion. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 19:17:11