An efficient PCA based pose and occlusion invariant face recognition system for video surveillance

Author:

Yoganand A. Vivek,Kavida A. Celine,Rukmanidevi D.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference32 articles.

1. Choi, J.Y., Plataniotis, K.N., Ro, Y.M.: Face feature weighted fusion based on fuzzy membership degree for video face recognition. IEEE Trans. Syst. Man Cybern. Part B 42(4), 1270–1282 (2012)

2. Tolba, A.S., El-Baz, A.H., El-Harby, A.A.: Face recognition: a literature review. Int. J. Signal Process. 2(2), 88–103 (2006)

3. Majumdar, A., Ward, R.K.: Pseudo-Fisher face method for single image per person face recognition. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, pp. 989–992 (2008)

4. Yoganad, V., Celine K.A.: Region growing and modified neural network classifier based face detection technique from video, vol. 10, No. 12, pp. 30231–30248 (2015)

5. Shermina, J., Vasudevan, V.: Face recognition system with various expression and occlusion based on a novel block matching algorithm and PCA. Int. J. Comput. Appl. 38(11), 27–34 (2012)

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