Human age estimation with regression on discriminative aging manifold

IEEE Transactions on Multimedia

Volumn 10, Issue 4, 2008, Pages 578-584

  Fu, Yun ^a,b   Huang, Thomas S ^a,b  

^a IEEE

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Age estimation; Conformal embedding analysis; Manifold; Multiple linear regression; Subspace learning

Indexed keywords

FEATURE EXTRACTION; HUMAN COMPUTER INTERACTION; MULTIMEDIA SYSTEMS; REGRESSION ANALYSIS;

AGE ESTIMATION; CONFORMAL EMBEDDING ANALYSIS; MULTIPLE LINEAR REGRESSION; SUBSPACE LEARNING;

FACE RECOGNITION;

EID: 44049107671     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2008.921847     Document Type: Article

References (30)

1. Y. Fu and N. Zheng, "M-face: An appearance-based photorealistic model for multiple facial attributes rendering," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 7, pp. 830-842, 2006.
2. Y. Fu, Y. Xu, and T. S. Huang, "Estimating human age by manifold analysis of face pictures and regression on aging features," in IEEE Conf. ICME'07, 2007, pp. 1383-1386.
3. Y. Fu, M. Liu, and T. S. Huang, "Conformal embedding analysis with local graph modeling on the unit hypersphere," in IEEE Conf. CVPR'07, Workshop on Component Analysis, 2007.
4. Y. Fu and T. S. Huang, "Image classification using correlation tensor analysis," IEEE Trans. Image Process., vol. 17, no. 2, pp. 226-234, Feb. 2008.
5. G. Guo, Y. Fu, T. S. Huang, and C. Dyer, "Locally adjusted robust regression for human age estimation," in IEEE Workshop on Applications of Computer Vision, 2008.
6. S. Weisberg, Applied Linear Regression, 3rd ed. Hoboken, NJ: Wiley Interscience, 2004.
7. R. O. Duda, E. H. Peter, and G. S. David, Pattern Classification, 2nd ed. Hoboken, NJ: Wiley Interscience, 2000.
8. K. A. Deffenbacher, T. Vetter, J. Johanson, and O'Toole, "Facial aging, attractiveness, and aistinctiveness," Perception, vol. 27, pp. 1233-1243, 1998.
9. N. Ramanathan and R. Chellappa, "Face verification across age progression," IEEE Trans. Image Process., vol. 15, no. 11, pp. 3349-3361, 2006.
10. N. Ramanathan and R. Chellappa, "Modeling age progression in young faces," in IEEE Conf. on CVPR'06, 2006, pp. 387-394.
11. A. Lanitis, C. Taylor, and T. Cootes, "Toward automatic simulation of aging effects on face images," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, no. 4, pp. 442-4-55, 2002.
12. A. Lanitis, C. Draganova, and C. Christodoulou, "Comparing different classifiers for automatic age estimation," IEEE Trans. Syst. Man, Cybern. B., vol. 34, no. 1, pp. 621-628, Feb. 2004.
13. Y. H. Kwon and N. da Vitoria Lobo, "Age classification from facial images," Computer Vis. Image Understand., vol. 74, no. 1, pp. 1-21, 1999.
14. X. Geng, Z.-H. Zhou, Y. Zhang, G. Li, and H. Dai, "Learning from facial aging patterns for automatic age estimation," in A CM Conf. Multimedia (ACM MM'06), 2006, pp. 307-316.
15. X. Geng, Z.-H. Zhou, and S.-M. Kate, "Automatic age estimation based on facial aging patterns," IEEE Trans. Pattern Anal. Machine Intell., vol. 29, no. 12, pp. 2234-2240, 2007.
16. S. Yan, H. Wang, T. S. Huang, Q. Yang, and X. O. Tang, "Ranking with uncertain labels," in IEEE Conf. ICME'07, 2007.
17. H. S. Seung and D. D. Lee, "The manifold ways of perception," Science, vol. 290, no. 5500, pp. 2268-2269, 2000.
18. S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000.
19. X. He and P. Niyogi, "Locality preserving projections," in Proc. NIPS'03, 2003.
20. X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang, "Face recognition using laplacianfaces," IEEE Trans. Pattern Anal. Machine Intell., vol. 27, no. 3, pp. 328-340, 2005.
21. D. Cai, X. He, J. W. Han, and H.-J. Zhang, "Orthogonal laplacianfaces for face recognition," IEEE Trans. Image Process., vol. 15, no. 11, pp. 3608-3614, Nov. 2006.
22. Y. W. Pang, L. Zhang, Z. K. Liu, N. H. Yu, and H. Q. Li, "Neighborhood Preserving Projections (NPP): A novel linear dimension reduction method," in Int. Conf. on Intelligent Computing, 2005, pp. 117-125.
23. S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin, "Graph embedding and extension: A general framework for dimensionality reduction," IEEE Trans. Pattern Anal. Machine Intell., vol. 29, no. 1, pp. 40-51, Jan. 2007.
24. H.-T. Chen, H.-W. Chang, and T.-L. Liu, "Local discriminant embedding and its variants," in IEEE Conf. CVPR'05, 2005, pp. 846-853.
25. P. Viola and M. Jones, "Robust real-time object detection," Int. J. Comput. Vis., vol. 57, no. 2, pp. 137-154, 2004.
26. M. A. Turk and A. P. Pentland, "Face recognition using eigenfaces," in IEEE Conf CVPR'91, 1991, pp. 586-591.
27. B. V. K. Vijaya Kumar, R. D. Juday, and A. Mahalanobis, Correlation Pattern Recognition.: Cambridge Univ. Press, 2006.
28. P. N. Belhumeur, J. P. Hepanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Machine Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
29. T.-K. Kim, J. Kittler, and R. Cippola, "Discriminative learning and recognition of image set classes using canonical correlations," IEEE Trans. Pattern Anal. Machine Intell., vol. 29, no. 6, pp. 1005-1018, Jun. 2007.
30. Y. Ma, S. Lao, E. Takikawa, and M. Kawade, "Discriminant analysis in correlation similarity measure space," in Int. Conf. Machine Learning, 2007, pp. 577-584.