Fuzzy neural networks and fuzzy integral approach to curvature-based component range facial recognition

2007 International Conference on Convergence Information Technology, ICCIT 2007

Volumn , Issue , 2007, Pages 1334-1339

  Lee, Yeunghak ^a   Han, Chang Wook ^a   Shim, Jaechang ^b  

^a Yeungnam University   (South Korea)

^b Andong National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATION; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); FACE RECOGNITION; IMAGE ENHANCEMENT; INFORMATION TECHNOLOGY; INTEGRAL EQUATIONS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; TECHNOLOGY; THREE DIMENSIONAL; VEGETATION;

3D FACES; CLASSIFICATION PERFORMANCE; FACE CURVATURE; FACIAL FEATURES; FACIAL RECOGNITION; FISHER FACE METHOD; FISHER FACES; FUZZY INTEGRALS; INDIVIDUAL CLASSIFIERS; INTERNATIONAL CONFERENCES; SURFACE CURVATURES;

FUZZY NEURAL NETWORKS;

EID: 49049087311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIT.2007.4420441     Document Type: Conference Paper

References (21)

1. L. C. Jain, U. Halici, I. Hayashi, and S. B. Lee, "Intelligent biometric techniques in fingerprint and face recognition," CRC Press, 1999.
2. 4D Culture, http://www.4dculture.com
3. Cyberware, http://www.cyberware.com
4. R. Chellapa, et al., "Human and Machine Recognition of Faces: A Survey," UMCP CS-TR-3399, 1999.
5. P. L. Hallinan, G. G. Gordon, A. L. Yuille, P. Giblin, and D. Mumford, "Two and three dimensional pattern of the face," A K Peters Ltd., 1999.
6. C. S. Chua, F. Han, and Y. K. Ho, "3D Human Face Recognition Using Point Signature," Proc. of the 4th ICAFGR, 2000.
7. H. T. Tanaka, M. Ikeda, and H. Chiaki, "Curvature-based face surface recognition using spherial correlation," Proc. of the 3rd IEEE Int. Conf. on Automatic Face and Gesture Recognition, 1998, pp. 372-377.
8. G. G. Gordon, "Face Recognition based on depth and curvature feature," Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 1992, pp. 808-810.
9. J. C. Lee and E. Milios, "Matching range image of human faces," Proc. of the 3rd Int. Conf. on Computer Vision, 1990, pp. 722-726.
10. M. Turk and A. Pentland, "Eigenfaces for Recognition," Journal of Cognitive Neuroscience, vol. 3, no. 1, 1991, pp. 71-86.
11. C. Hesher, A. Srivastava, and G. Erlebacher, "Principal Component Analysis of Range Images for Facial Recognition," Proc. of CISST, 2002.
12. W. Zhang, S. Shan, W. Gao, Y. Chang, and B. Cao, "Component-based Cascade Linear Discriminant Analysis for Face Recognition," Lecture Notes in Computer Science, vol. 3338, 2004, pp. 288-295.
13. Z. Q. Zhao, D. S. Huang, and B. Y. Sun, "Human face recognition based on multi-features using neural networks committee," Pattern Recognition Letters, vol. 25, 2004, pp. 1351-1358.
14. W. Pedrycz, M. Reformat, and C. W. Han, "Cascade architectures of fuzzy neural networks," Fuzzy Optimization and Decision Making, vol. 3, 2004, pp. 5-37.
15. K. C. Kwak and W. Pedrycz, "Face Recognition Using Fuzzy Integral and Wavelet Decomposition Method," IEEE Trans. Systems, Man, and Cybernetics, vol. 34, no. 4, 2004, pp. 1666-1675.
16. M. Sugeno, "Fuzzy measures and fuzzy integrals-A survey," In Fuzzy Automata and Decision Process, M. M. Gupta, G. N. Saridis, and B. R. Gaines, Eds. Amsterdam, The Netherlands: North Holland, pp. 89-102, 1997.
17. G. Banon, "Distinction between several subsets of fuzzy measures," Fuzzy Sets and Systems, vol. 5, no. 4, 1981, pp. 291-305.
18. H. Lee, J. Lee, and H. Kim, "Multi-feature based face retrieval," The workshop for Image processing and understand, 2003.
19. B. Moghaddam, T. Jebara, and A. Pentland, "Bayesian face recognition," Pattern Recognition, vol. 33, 2000, pp. 1771-1782.
20. F. G. Peet and T. S. Sahota, "Surface Curvature as a Measure of Image Texture," IEEE Trans. PAMI, vol. 7, no. 6, 1985, pp. 734-738.
21. Y. Lee, 3D Face Recognition using Longitudinal Section and Transection," DICTA 2003, 2003.