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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Face Recognition Using Uncorrelated, Weighted Linear Discriminant Analysis
verfasst von : Yixiong Liang, Weiguo Gong, Yingjun Pan, Weihong Li
Erschienen in: Pattern Recognition and Image Analysis
Verlag: Springer Berlin Heidelberg
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In this paper, we propose an uncorrelated, weighted LDA (UWLDA) technique for face recognition. The UWLDA extends the uncorrelated LDA (ULDA) technique by integrating the weighted pairwise Fisher criterion and nullspace LDA (NLDA), while retaining all merits of ULDA. Experiments compare the proposed algorithm to other face recognition methods that employ linear dimensionality reduction such as Eigenfaces, Fisherfaces, DLDA and NLDA on the AR face database. The results demonstrate the efficiency and superiority of our method.