Diagonal principal component analysis for face recognition

Author:

Zhang Daoqiang,Zhou Zhi-Hua,Songcan Chen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference5 articles.

1. Eigenfaces for recognition;Turk;J. Cognitive Neurosci.,1991

2. Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA;Chen;Pattern Recognition Lett.,2005

3. Two-dimensional PCA: a new approach to appearance-based face representation and recognition;Yang;IEEE Trans. Pattern Anal. Mach. Intell.,2004

4. D.Q. Zhang, S.C. Chen, J. Liu, Representing image matrices: eigenimages vs. eigenvectors, in: Proceedings of the Second International Symposium on Neural Networks (ISNN’05), Lecture Notes in Computer Science, vol. 3497, Chongqing, China, 2005, pp. 659–664.

5. X. Tan, S. Chen, Z.-H. Zhou, F. Zhang, Robust face recognition from a single training image per person with kernel-based SOM-face, in: Proceedings of the First International Symposium on Neural Networks (ISNN’04), Lecture Notes in Computer Science, vol. 3173, Dalian, China, 2004, pp. 858–863.

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