Face recognition using uncorrelated, weighted linear discriminant analysis

Authors:
Yixiong Liang;Weiguo Gong;Yingjun Pan;Weihong Li
Affiliations:
Key Lab of Optoelectronic Technology & Systems of Education Ministry of China, Chongqing University, Chongqing, China;Key Lab of Optoelectronic Technology & Systems of Education Ministry of China, Chongqing University, Chongqing, China;Key Lab of Optoelectronic Technology & Systems of Education Ministry of China, Chongqing University, Chongqing, China;Key Lab of Optoelectronic Technology & Systems of Education Ministry of China, Chongqing University, Chongqing, China
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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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.