Face image recognition combining holistic and local features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5553 LNCS, Issue PART 3, 2009, Pages 407-415

  Pan, Chen ^a   Cao, Feilong ^a  

^a CHINA JILIANG UNIVERSITY   (China)

Author keywords

2DNMF; 2DPCA; Face recognition; Feature extraction; LSSVM

Indexed keywords

2DNMF; 2DPCA; DCT COEFFICIENTS; DIFFERENT FREQUENCY; FACE DATABASE; FACE IMAGE RECOGNITION; FEATURE VECTORS; FREQUENCY DOMAINS; FREQUENCY INFORMATION; GLOBAL METHODS; LOCAL FEATURE; LSSVM; SPATIAL DOMAINS;

COSINE TRANSFORMS; DISCRETE COSINE TRANSFORMS; FEATURE EXTRACTION; NEURAL NETWORKS;

FACE RECOGNITION;

EID: 69849101042     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01513-7_44     Document Type: Conference Paper

References (23)

1. Turk, M.A., Pentland, A.P.: Face Recognition Using Eigenfaces. In: Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 586-591 (1991)
2. Comon, P.: Independent Component Analysis, A New Concept? Signal Process 36(3), 287-314 (1994)
3. Bishop, C.M.: Neural Network for Pattern Recognition. Oxford University Press, New York (1995)
4. Lu, J., Plataniotis, K.N., Venetsanopoulos, A.N.: Face Recognition Using Kernel Direct Discriminant Analysis Algotithms. IEEE Trans. on Neural Networks 14(1), 117-126 (2003)
5. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (2000)
6. Pang, S., Kim, D., Bang, S.Y.: Membership Authentication in the Dynamic Group by Face Classification Using SVM Ensemble. Pattern Recognition Letters 24(1-3), 215-225 (2003)
7. Lee, D.D., Seung, H.S.: Learning the Parts of Objects by Non-negative Matrix Factorization. Nature 401, 788-791 (1999)
8. Shashua, A., Hazan, T.: Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision. In: Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany (2005)
9. Tan, X.Y., Chen, S.C., Zhou, Z.H., Zhang, F.Y.: Face Recognition from A Single Image Per Person: A survey. Pattern Recognition 39, 1725-1745 (2006)
10. Wiskott, L., Fellous, J.M., Kruger, N., Malsburg, C.: Face Recognition by Elastic Bunch Graph Matching. IEEE Trans. on Pattern Analysis and Machine Intelligence 19(7), 775-779 (1997) (Pubitemid 127762270)
11. Penev, P., Atick, J.: Local Feature Analysis: A General Statistical Theory for Object Representation. Netw.: Comput. Neural Syst. 7, 477-500 (1996)
12. Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On Combining Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20(3), 226-239 (1998)
13. Zhou, Z.H., Wu, J., Tang, W.: Ensembling Neural Networks: Many Could be Better That All. Artif. Intell. 137(1-2), 239-263 (2003)
14. Lanitis, A., Taylor, C.J., Cootes, T.F.: Automatic Face Identification System Using Flexible Appearance Models. Image Vision Comput. 13, 393-401 (1995)
15. Yang, J., Zhang, D.Q., Yang, J.Y.: Two-dimensional PCA: A New Approach to Appearance-based Face Representation and Recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence 26(1), 131-137 (2004)
16. Zhang, D.Q., Zhou, Z.H.: (2D)2PCA: 2-directional 2-dimensional PCA for Efficient Face Representation and Recognition. Neurocomputing 69(1-3), 224-231 (2005)
17. Zhang, D.Q., Chen, S.C., Zhou, Z.H.: Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. In: Zhao, W., Gong, S., \Tang, X. (eds.) AMFG 2005. LNCS, vol.3723, pp. 350-363. Springer, Heidelberg (2005)
18. Liu, W.X., Zheng, N.N.: Non-negative Matrix Factorization Based Methods for Object Recognition. Pattern Recognition Letters 25, 893-897 (2004)
19. Suykens, J.A.K., Vandewalle, J.: Least Squares Support Vector Machine Classifiers. Neural Processing Letter 9, 293-300 (1999)
20. ORL, http://mambo.ucsc.edu/psl/olivetti.html
21. JAFFE, http://www.kasrl.org/jaffe.html
22. Pelckmans, K., Suykens, J.A.K., Van Gestel, T., et al.: LS-SVMlab Toolbox User's Guide version 1.5., http://www.esat.kuleuven.ac.be/sista/lssvmlab/
23. Lu, H.P., Konstantinos, N., Plataniotis, Venetsanopoulos, N.A.: MPCA: Multilinear Principal Component Analysis of Tensor Objects. IEEE Trans. on Neural Networks 19(1), 18-39 (2008)