A New Direct LDA (D-LDA) Algorithm for Feature Extraction in Face Recognition

Authors:
Wu Xiao-Jun;Josef Kittler;Yang Jing-Yu;Kieron Messer;Wang Shitong
Affiliations:
East China Shipbuilding Institute, P.R. China/ Chinese Academy of Sciences, P.R. China/ University of Surrey, UK;University of Surrey, UK;Nanjing University of Science & Technology, P.R. China;University of Surrey, UK;Nanjing University of Science & Technology, P.R. China
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Year:
2004

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Abstract

The problem of determining the optimal set of discriminant vectors for feature extraction in pattern recognition is investigated. We propose a new direct LDA (D-LDA) method that is applicable to small sample size (SSS) problems often arising in face recognition. The experimental results on two popular databases show the effectiveness of the proposed method.