A novel face recognition algorithm for distinguishing faces with various angles

International Journal of Automation and Computing

Volumn 5, Issue 2, 2008, Pages 193-197

  Lu, Yong Zhong ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Approximate dynamic programming (ADP); Face recognition; Particle swarm optimization (PSO)

Indexed keywords

ALGORITHMS; DISCRETE COSINE TRANSFORMS; DYNAMIC PROGRAMMING; PARTICLE SWARM OPTIMIZATION (PSO);

APPROXIMATE DYNAMIC PROGRAMMING (ADP); DATA REPRESENTATION;

FACE RECOGNITION;

EID: 44249123783     PISSN: 14768186     EISSN: 17518520     Source Type: Journal    
DOI: 10.1007/s11633-008-0193-x     Document Type: Article

References (12)

1. Q. Yang, X. Q. Ding. Symmetric PCA and Its Application in Face Recognition. Journal of Computer, vol. 26, no. 9, pp. 1146-1151, 2003. (in Chinese)
2. Y. Z. Lu, J. L. Zhou, S. S. YU. A Survey of Face Detection, Extraction and Recognition. Computing and Informatics, vol. 22, no. 2, pp. 163-195, 2003.
3. J. Kennedy, R. C. Eberhart, Y. H. Shi. Swarm Intelligence, Morgan Kauffman Publishers, San Francisco, USA, 2001.
4. G. Ciuprina, D. Ioan, I. Munteanu. Use of Intelligent-particle Swarm Optimization in Electromagnetics. IEEE Transactions on Magnetics, vol. 38, no. 2, pp. 1037-1040, 2002.
5. G. K. Venayagamoorthy, R. G. Harley, D. C. Wunsch. Applications of Approximate Dynamic Programming in Power Systems Control. Handbook of Learning and Approximate Dynamic Programming, J. Si, A. Barto, W. Powell, D. C. Wunsch (eds.), Wiley Interscience/IEEE Press, Piscataway, New York, pp. 479-515, 2004.
6. M. Settles, T. Soule. Breeding Swarms: A GA/PSO Hybrid. In Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, Washington, DC, USA, pp. 161-168, 2005.
7. X. H. Shi, Y. C. Liang, H. P. Lee. An Improved GA and a Novel PSO-GA-based Hybrid Algorithm. Information Processing Letters, vol. 93, no. 5, pp. 255-261, 2005.
8. Y. Da, X. R. Ge. An Improved PSO-based ANN with Simulated Annealing Technique. Neurocomputing, vol. 63, no. 4, pp. 527-533, 2005.
9. H. M. Feng, C. Y. Chen, F. Ye. Evolutionary Fuzzy Particle Swarm Optimization Vector Quantization Learning Scheme in Image Compression. Expert Systems with Applications, vol. 32, no. 1, pp. 213-222, 2007.
10. N. Ahmed, T. Natarajan, K. R. Rao. On Image Processing and a Discrete Cosine Transform. IEEE Transactions on Computers, vol. 23, no. 1, pp. 90-93, 1974.
11. J. B. Li, S. C. Chu, J. S. Pan, J. H. Ho. A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images. In Proceedings of IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IEEE Press, Pasadena, California, USA, pp. 305-308, 2006.
12. AT&T Laboratories Cambridge, [Online], Available: www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase. html, November 12, 2006.