Extended two-dimensional PCA for efficient face representation and recognition

Proceedings - 2008 IEEE 4th International Conference on Intelligent Computer Communication and Processing, ICCP 2008

Volumn , Issue , 2008, Pages 295-298

  Safayani, M ^a   Manzuri Shalmani, M T ^a   Khademi, M ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE INFORMATION; ENERGY COMPRESSION; FACE REPRESENTATIONS; NOVEL METHODS; ORL FACE DATABASE; RECOGNITION ACCURACY; RECOGNITION TIME; TWO-DIMENSIONAL PCA;

COVARIANCE MATRIX; TWO DIMENSIONAL;

FACE RECOGNITION;

EID: 67650264334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCP.2008.4648390     Document Type: Conference Paper

References (7)

1. Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cognitive Neurosci. 3, 1, 71-86 (1991).
2. Yang, J., Zhang, D., Frangi, A.F., Yang, J.: Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition. IEEE Trans. Pattern Anal. Machine Intell. Vol. 26, No. 1, 131-137 (2004).
3. Wang, L., Wang, X., Feng, J.: On image matrix based feature extraction algorithms. IEEE Trans. Syst. Man. Cybern. Part B, Cybern. 36, 1, 194-197 (2006).
4. Kong, H., Wang, L., Teoh, E.K., Li, X., Wang, J.G., Venkateswarlu, R.: Generalized 2D principal component analysis for face image representation and recognition. Neural Netw. 18, 585-594, (2005).
5. Zheng, W.S., Lai, J.H., and Li, S.Z, "1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?", PR(41), No. 7, pp. 2156-2172, (2008).
6. AT&T Laboratories Cambridge, http://www.cl.cam.ac.uk.
7. Zhang, D., Zhou, Z.H.: (2D)2PCA: two-directional two-dimensional PCA for efficient face representation. Neurocomputing 69. 224-231 (2005).