Dual LDA for Face Recognition

• Autorzy: Skarbek, W. , Kucharski, K. , Bober, M.
• Języki publikacji: EN

Abstrakty

EN

The complete theory for Fisher and dual discriminant analysis is presented as the background of the novel algorithms. LDA is found as composition of projection onto the singular subspace for within-class normalised data with the projection onto the singular subspace for between-class normalised data. The dual LDA consists of those projections applied in reverse order. The experiments show that using suitable composition of dual LDA transformations gives as least as good results as recent state-of-the-art solutions.

Słowa kluczowe

EN

linear discriminant analysis; dual Linear Discriminant Analysis; feature extraction; face recognition; face descriptor

• Czasopismo: Fundamenta Informaticae
• Rocznik: 2004
• Tom: Vol. 61, nr 3,4
• Strony: 303--334
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr.

Twórcy

autor

Skarbek, W.

• Institute of Radioelectronics, Warsaw University of Technology, Pl.Politechniki 1, Warsaw, Poland,

autor

Kucharski, K.

• Institute of Radioelectronics, Warsaw University of Technology, Pl.Politechniki 1, Warsaw, Poland

autor

Bober, M.

• Visual Information Laboratory, Mitsubishi Electric

Bibliografia

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• [7] Skarbek W., Bober M., Kucharski K., Face Recognition by Fisher and Scatter Linear Discriminant Analysis, CAIP’03, pages 638-645, 2003.
• [8] Swets D.L., Weng J., Using Discriminant Eigenfeatures for Image Retrieval, IEEE Trans, on PAMI, 18(8):831-837, August 1996.
• [9] Zhao W., Krishnaswamy A., Chellappa R., Swets D.L., Weng J., Discriminant Analysis of Principal Components for Face Recognition, In 3rd International Conference on Automatic Face and Gesture Recognition, pages 336-341, 1998.
• [10] Kamei T, Yamada A., Hyunwoo K., Tae-Kyun K., Wonjun H., Seok Cheol K. Advanced Face Descriptor Using Fourier and Intensity LDA Features, ISO/IEC JTC1/SC29AVG11, proposal M8988, October 2002, Shanghai.