期刊
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
卷 16, 期 7, 页码 817-830出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218001402002003
关键词
PCA; fisher linear discriminant; evolutionary pursuit; eigenfaces; fisherfaces; FERET
Different eigenspace-based approaches have been proposed for the recognition of faces. They differ mostly in the kind of projection method being used and in the similarity matching criterion employed. The aim of this paper is to present a comparative study between some of these different approaches. This study considers theoretical aspects as well as experiments performed using a face database with a few number of classes (Yale) and also with a large number of classes (FERET).
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