View independent face recognition based on kernel principal component analysis of local parts

Proceedings - International Conference on Image Processing, ICIP

Volumn 3, Issue , 2005, Pages 760-763

  Hotta, Kazuhiro ^a  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE RECONSTRUCTION; PERSONNEL TRAINING; PRINCIPAL COMPONENT ANALYSIS;

EIGEN SPACE; KERNEL PRINCIPAL COMPONENT ANALYSIS (KPCA); MEDIAN RULES;

FACE RECOGNITION;

EID: 33749242435     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2005.1530503     Document Type: Conference Paper

References (24)

1. R.Chellappa, C.L.Wilson, and S.Sirohey, "Human and machine recognition of faces: A survey," Proceedings of the IEEE, vol. 83, no. 5, pp. 705-740, 1995.
2. W.Zhao, R.Chellappa, P.J.Phillips, and A.Rosenfeld, "Face recognition: A literature survey," ACM Computing Surveys, vol. 35, no. 4, pp. 399-458, 2003.
3. PJ.Phillips, P.Grother, R.J.Micheals, D.H.Blackburn, E.Tabassi, and J.M.Bone, "Frvt2002: Evaluation report," Tech. Rep., NISTIR6965 http://frvt.org, 2003.
4. A.Pentland, B.Moghaddam, and T.Starner, "View-based and modular eigenspaces for face recognition," in Proc. IEEE Conference on Computer Vision and Pattern Recognition, 1994, pp. 84-91.
5. H.Murase and S.K.Nayar, "Visual learning and recognition of 3d objects from appearance," International Journal of Computer Vision, vol. 14, no. 1, pp. 5-24, 1995.
6. Y.Li, S.Gong, and H.Liddell, "Support vector regression and classification based multi-view face detection," in Proc. International Conference on Automatic Face and Gesture Recognition, 2000, pp. 300-305.
7. R.Féraud, OJ.Bemier, J-E.Viallet, and M.Collobert, "A fast and accurate face detector based on neural networks," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 1, pp. 42-53, 2001.
8. T.Kurita and T.Takahashi, "Viewpoint independent face recognition by competition of viewpoint dependent classifiers," Neurocomputing, vol. 51, pp. 181-195, 2003.
9. K.Ohba and K.Ikeuchi, "Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 9, pp. 1043-1048, 1997.
10. H.Schneiderman and T.Kanade, "A statistical method for 3d object detection applied to faces and cars," in Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2000, pp. 746-751.
11. K.Hotta, "A view-invariant face detection method based on local pea cells," Journal of Advanced Computational Intelligence and Intelligent Infomatics, vol. 8, no. 2, pp. 130-139, 2004.
12. K.Hotta, "Support vector machine with local summation kernel for robust face recognition," in Proc. 17th International Conference on Pattern Recognition, 2004, pp. 482-485.
13. B.Heisele, P.Ho, J.Wu, and T.Poggio, "Face recognition: coomponent-based versus global approaches," Computer Vision and Image Understanding, vol. 91, no. 1/2, pp. 6-21, 2003.
14. B.Schölkopf, C.J.CBurges, and A.J.Somla, Advances in kernel methods: support vector machine, MIT Press, 1998.
15. K.-R.Müller, S.Mika, G.Rätsch, and K.Tsuda, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Networks, vol. 12, no. 2, pp. 181-201,2001.
16. M.-H.Yang, "Face recognition using kernel methods," in Advances in Neural Information Processing Systems 14, 2002, pp. 215-220.
17. J.Kittler, M.Hatef, R.P.W.Duin, and J.Matas, "On combining classifiers," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 226-239, 1998.
18. E.Oja, Subspace Methods of Pattern Recognition, Research Studies Press Ltd., 1983.
19. J.P.Jones and L.A.Palmer, "An evaluation of the two-dimensional gabor filter model of simple receptive fields in the cat striate cortex," J. Neurophysiology, vol. 58, pp. 1233-1258, 1987.
20. B.A.Olshausen and D.J.Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, no. 13, pp. 607-609, 1996.
21. A.J.Bell and T.J.Sejnowski, "Edes are the 'independent components' of natural scenes," Vision Research, vol. 37, pp. 3327-3338, 1997.
22. R.Debnath and H.Takahashi, "Kernel selection for the support vector machine," IEICE Trans. Info. & Syst., vol. E87-D, no. 12, pp. 2903-2904, 2004.
23. J.Shawe-Taylor and N.Cristianini, Kernel Methods for Pattern Analysis, Cambridge University Press, 2004.
24. H.Suzuki, Y.Waizumi, N.Kato, and Y.Nemoto, "A discriminnt method of similar characters with nonlinear compound subspace method," in Proc. Forum on Information Technology, 2003, pp. 205-206.