DocumentCode :
3428266
Title :
A new direct LDA (D-LDA) algorithm for feature extraction in face recognition
Author :
Xiao-jun, Wu ; Kittler, Josef ; Jing-Yu, Yang ; Messer, Kieron ; Shitong, Wang
Author_Institution :
East China Shipbuilding Inst., Zhenjiang, China
Volume :
4
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
545
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.
Keywords :
face recognition; feature extraction; optimisation; face recognition; feature extraction; linear discriminant analysis algorithm; pattern recognition; small sample size problem; Algorithm design and analysis; Face recognition; Feature extraction; Humans; Iterative algorithms; Linear discriminant analysis; Null space; Pattern recognition; Robotics and automation; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1333830
Filename :
1333830
Link To Document :
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