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Titolo:
Face recognition using the discrete cosine transform
Autore:
Hafed, ZM; Levine, MD;
Indirizzi:
McGill Univ, Ctr Intelligent Machines, Montreal, PQ H3A 2A7, Canada McGillUniv Montreal PQ Canada H3A 2A7 ines, Montreal, PQ H3A 2A7, Canada
Titolo Testata:
INTERNATIONAL JOURNAL OF COMPUTER VISION
fascicolo: 3, volume: 43, anno: 2001,
pagine: 167 - 188
SICI:
0920-5691(200107)43:3<167:FRUTDC>2.0.ZU;2-P
Fonte:
ISI
Lingua:
ENG
Soggetto:
IMAGE RETRIEVAL;
Keywords:
face recognition; discrete cosine transform; Karhunen-Loeve transform; geometric normalization; illumination normalization; feature extraction; data compression;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
40
Recensione:
Indirizzi per estratti:
Indirizzo: Hafed, ZM McGill Univ, Ctr Intelligent Machines, 3840 Univ St, Montreal, PQ H3A 2A7,Canada McGill Univ 3840 Univ St Montreal PQ Canada H3A 2A7 A 2A7,Canada
Citazione:
Z.M. Hafed e M.D. Levine, "Face recognition using the discrete cosine transform", INT J COM V, 43(3), 2001, pp. 167-188

Abstract

An accurate and robust face recognition system was developed and tested. This system exploits the feature extraction capabilities of the discrete cosine transform (DCT) and invokes certain normalization techniques that increase its robustness to variations in facial geometry and illumination. The method was tested on a variety of available face databases, including one collected at McGill University. The system was shown to perform very well when compared to other approaches.

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Documento generato il 22/01/20 alle ore 06:28:15