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