Distinctiveness, typicality, and recollective experience in face recognition: A principal components analysis
نویسندگان
چکیده
منابع مشابه
Discriminant Analysis of Principal Components for Face Recognition
In this paper we describe a face recognition method based on PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis). The method consists of two steps: rst we project the face image from the original vector space to a face subspace via PCA, second we use LDA to obtain a best linear clas-siier. The basic idea of combining PCA and LDA is to improve the generalization capability ...
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ژورنال
عنوان ژورنال: Psychonomic Bulletin & Review
سال: 2005
ISSN: 1069-9384,1531-5320
DOI: 10.3758/bf03206439