DocumentCode
3290706
Title
Cascade Two-dimensional Locality Preserving Projections for Face Recognition
Author
Wang, Xiaoguo ; Tian, Ming ; Wang, Cong ; Huang, Yong ; Liu, Jun ; Zhang, Xiongwei
Author_Institution
Inst. of Commun. Eng., PLA Univ. of Sci. & Tech., Nanjing, China
fYear
2009
fDate
16-17 May 2009
Firstpage
749
Lastpage
751
Abstract
In this paper, we propose a novel algorithm for face feature extraction, namely the cascade two-dimensional locality preserving projections (C2DLPP), which directly extracts the proper features from image matrices based on locality preserving criterion. Experiments on ORL and PIE face database are performed to test and evaluate the proposed algorithm. The results demonstrate the effectiveness of proposed algorithm.
Keywords
face recognition; feature extraction; ORL face database; PIE face database; cascade two-dimensional locality preserving projections; face feature extraction; face recognition; image matrices; Circuits; Face recognition; Feature extraction; Image databases; Pattern recognition; Performance evaluation; Principal component analysis; Programmable logic arrays; Spatial databases; Testing; Two-dimensional Locality Preserving Projections; face recognition; feature extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3614-9
Type
conf
DOI
10.1109/PACCS.2009.191
Filename
5232433
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