Abstract
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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Liang, Y., Gong, W., Pan, Y., Li, W. (2005). Face Recognition Using Uncorrelated, Weighted Linear Discriminant Analysis. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_22
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DOI: https://doi.org/10.1007/11552499_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
Online ISBN: 978-3-540-31999-3
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