Face recognition based on two-layer generated virtual data for SVM

Jisuanji Xuebao/Chinese Journal of Computers

Volumn 28, Issue 3, 2005, Pages 368-376

  Cui, Guo Qin ^a   Gao, Wen ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

Face recognition; Generated virtual data; Multi class problem; Principal component analysis (PCA); Support vector machine (SVM)

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; EXTRAPOLATION; FEATURE EXTRACTION; INTERPOLATION; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

EYE IMAGES; FACE DATABASES; FACE IMAGES; FEATURE VECTORS; GENERATED VIRTUAL DATA; MASK TEMPLATES; MULTI CLASS PROBLEM; SUPPORT VECTOR MACHINES;

FACE RECOGNITION;

EID: 17244382698     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (36)

1. Chellappa R., Wilson C. L., Sirohey Saad. Human and machine recognition of face: A survey. Proceeding of the IEEE. 1995, 83(5): 705-741
2. Zhao W. Y., Chellappa R., Rosenfeld A., Phillips P. J.. Face recognition: A literature survey. UMD CfAR: Technical Report CAR-TR-948, 2000
3. Turk M., Pentland A.. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 1991, 3(1): 71-86
4. Zhang Jun, Yan Yong. Face recognition: Eigenface, elastic matching, and neural nets. Proceedings of the IEEE, 1997, 85(9): 1423-1435
5. Kirby M., Sirovich L.. Application of the kruhnen-loeve procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(1): 103-108
6. Wiskott L., Fellous J.-M., Kruger N., von der Malsburg C.. Face recognition by elastic graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 775-779
7. Lades M., Vorbruggen J. C., Buhmann J., Lange J., von der Malsburg C., Wurtz R. P., Konen W.. Distortion invariant object recognition in the dynamic link architecture. IEEE Transactions on Computers, 1993, 42(3): 300-311
8. Vapnik V.. The Nature of Statistical Learning Theory. N. Y.: Springer, 1995
9. Beymer D., Poggio T.. Face recognition from one example view. In: Proceedings of the 5th International Conference on Computer Vision (ICCV), Cambridge, 1995, 500-507
10. Georghiades A. S., Belhumeur P. N., Kriegrnan D. J.. From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(6): 643-660
11. Adini Yael, Moses Yael, Ullman Shimon. Face recognition: The problem of compensating for changes in illumination direction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 721-732
12. Vetter T.. Synthesis of novel views from a single face. International Journal of Computer Vision, 1998, 28(2): 103-116
13. Li S. Z., Lu Ju-Wei. Face recognition using the nearest feature line method. IEEE Transactions on Neural Networks, 1999, 10(2): 439-443
14. Ryu Yeon-Sik, Oh Se-Young. Simple hybrid classifier for face recognition with adaptively generated virtual data. Pattern Recognition Letters, 2002, 23: 833-841
15. Phillips P. J.. Support vector machines applied to face recognition. In: Kearns M. S., Solla S., Cohen D. eds.. Advances in Neural Information Processing Systems 11, MIT Press, 1998, 803-809
16. Cui Guo-Qin, Gao Wen, Jiao Feng, Shan Shi-Guang. Face recognition based on support vector method. In: Proceedings of the 5th Asian Conference on Computer Vision, Melbourne (Australia), 2002, 807-812
17. Guo G., Li S. Z., Chan K.. Face recognition by support vector machines. Image and Vision Computing, 2001, 19(9-10): 631-638
18. Matas J. K., Matas J., Kittler J., Li Y. P.. Learning support vectors for face verification and recognition. In: Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble (France), 2000, 208-213
19. Heisele B., Ho B., Wu Jane, Poggio T.. Face recognition: Component-based versus global approaches. Computer Vision and Image Understanding, 2003, 91(1-2): 6-21
20. Pontil M., Verri A.. Support vector machines for 3D object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(6): 637-646
21. Xi Di-Hua, Podolak I. T., Lee Seong-Whan. Facial component extraction and face recognition with support vector machines. In: Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR'02), Washington D. C, 2002, 83-88
22. Phillips P. J., Wechsler H., Huang J., Rauss P.. The FE-RET database and evaluation procedure for face recognition algorithms. Journal of Image and Vision Computing, 1998, 16(5): 295-306
23. Meser K., Matas J., Kittler J., Luettin J., Maitre G.. XM2VTSDB: The extended M2VTS database. In: Akunuri S., Kullman C. eds.. Audio- and Video-based Biometric Person Authentication (AVBPA), Washington D. C., 1999, 72-77
24. Graham D. B., Allinson N. M.. Characterizing virtual eigensignatures for general purpose face recognition. In: Wechsler H., Phillips P. J., Bruce V., Fogelman-Soulie F., Huang T. S. eds.. Face Recognition: From Theory to Applications. NATO ASI Series F, Computer and Systems Sciences, 1998, 163: 446-456
25. Jiao Feng, Shan Shi-Guang, Cui Guo-Qin, Gao Wen, Li Jin-Tao. Face recognition based on feature analysis. Chinese Journal of Computer-Aided Design and Computer Graphics, 2003, 15(1): 53-58
26. Cootes T. F., Edwards G. J., Taylor C. J.. Active appearance model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(6): 681-685
27. Zhao W., Chellappa R.. Sfs based view synthesis for robust face recognition. In: Proceedings of the 4th IEEE Conference on Automatic Face and Gesture Recognition, Grenoble, 2000, 285-292
28. Shan Shi-Guang, Gao Wen, Zhao De-Bin. Face identification based on face-specific subspace. International Journal of Image and System Technology, Special Issue on Face Processing, Analysis and Synthesis, 2003, 13(1): 23-32
29. Zhao W., Krishnaswamy A., Chellappa R., Swets D. L., Weng J.. Discriminant analysis of principal components for face recognition. In: Wechsler H., Phillips P. J., Bruce V., Soulie F. F., Huang T, S. eds.. Face Recognition: From Theory to Applications. Springer-Verlag, 1998, 73-85
30. de la Torre F., Black M.. Robust principal component analysis for computer vision. In: Proceedings of International Conference on Computer Vision (ICCV), Vancouver B. C., Canada, 2001, 362-369
31. Burges C. J. C.. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 1998, 2(2): 121-167
32. Hsu Chih-Wei, Lin Chih-Jen. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks, 2002, 13: 415-425
33. Bredensteiner E. J., Bennett K. P.. Multicategory classification by support vector machines. Computational Optimizations and Applications, 1999, 12: 53-79
34. Xu P., Chan A. K.. An efficient algorithm on multi-class support vector machine model selection. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN03), Portland (USA), 2003, 3229-3232
35. Weston J., Watkins C.. Multi-class support vector machines. University of London, Royal Holloway: Technical Report CSD-TR-98-04, 1998
36. Zhang Chang-Shui, Wang Jun, Zhao Nan-Yuan, Zhang David. Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction. Pattern Recognition, 2004, 37(2): 325-336