Locally adjusted robust regression for human age estimation

2008 IEEE Workshop on Applications of Computer Vision, WACV

Volumn , Issue , 2008, Pages

  Guo, Guodong ^a   Fu, Yun ^b   Huang, Thomas S ^b   Dyer, Charles R ^c  

^a NCCU   (United States)

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

^c University of Wisconsin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; COMMUNICATION; COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING; MULTIMEDIA SYSTEMS;

AGE ESTIMATION;

HUMAN COMPUTER INTERACTION;

EID: 50849105800     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2008.4544009     Document Type: Conference Paper

References (25)

1. The FG-NET Aging database, http://sting.cycollege.ac.cy/~alanitis/ fgnetaging/index.htm.
2. D. Cai, X.F. He, J.W. Han, and H.-J. Zhang, "Orthogonal Laplacianfaces for Face Recognition," IEEE Trans. on Image Processing, vol. 15, no. 11, pp. 3608-3614, 2006.
3. T.F.Cootes, G.J. Edwards and C.J.Taylor. "Active Appearance Models", in Proc. European Conference on Computer Vision Vol. 2, pp. 484-498, 1998.
4. nd Edition), Wiley Interscience, 2000.
5. Y. Fu, Y. Xu, and T. S. Huang, "Estimating human ages by manifold analysis of face pictures and regression on aging features," IEEE Conference on Multimedia and Expo, pp. 1383-1386, 2007.
6. Y. Fu and N.N. Zheng, "M-Face: An Appearance-Based Photorealistic Model for Multiple Facial Attributes Rendering," IEEE Trans. on CSVT, vol. 16, no. 7, pp. 830-842, 2006.
7. Y. Fu and T. S. Huang, "Human age estimation with regression on discriminative aging manifold", IEEE Trans. on Multimedia, to appear.
8. Y. Fu and T. S. Huang. "Locally linear embedded eigenspace analysis", IFP-TR, UIUC, January, 2005.
9. X. Geng, Z.-H. Zhou, Y. Zhang, G. Li, and H. Dai, "Learning from Facial Aging Patterns for Automatic Age Estimation," ACM Conf. on Multimedia (ACMMM'06), pp. 307-316, 2006.
10. S. R. Gunn, "Support vector machines for classification and regression," technical report, Image Speech and Intelligent Systems Research Group, University of Southampton, 1997.
11. G. Guo and C. Dyer, "Learning from Examples in the Small Sample Case: Face Expression Recognition," IEEE Trans. on SMC-B, Vol. 35, No. 3, 477-488, 2005.
12. G. Guo, C. Dyer, and Z. Zhang, "Linear Combination Representation for Outlier Detection in Motion Tracking," IEEE Conference on CVPR, Vol. 2, pp. 274-281, 2005.
13. G. Guo, A. Jain, W. Ma, and H. Zhang, "Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback," IEEE Trans. on Neural Networks, Vol. 13, No. 4, 811-820, 2002.
14. G. Guo and S. Li, "Content-based Audio Classification and Retrieval by Support Vector Machines," IEEE Trans. on Neural Networks, Vol. 14, No. 1, 209-215, 2003.
15. G. Guo, S. Li, and K. Chan, "Face Recognition by Support Vector Machines," Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 196-201, 2000.
16. T. Joachims, "Making large-scale SVM learning practical," Advances in Kernel Methods - Support Vector Learning, B. Schlkopf and C. Burges and A. Smola (ed.), MIT Press, 1999.
17. Y. Kwon and N. Lobo, "Age Classification from Facial Images," Computer Vision and Image Understanding, vol. 74, no. 1, pp. 1-21, 1999.
18. A. Lanitis, C. Taylor, and T. Cootes, "Toward Automatic Simulation of Aging Effects on Face Images," IEEE Trans. on PAMI, vol. 24, no. 4, pp. 442-455, 2002.
19. A. Lanitis, C. Draganova, and C. Christodoulou, "Comparing Different Classifiers for Automatic Age Estimation," IEEE Trans. on SMC-B, vol. 34, no. 1, pp. 621-628, 2004.
20. M. Pontil and A. Verri, "Support Vector Machines for 3-D Object Recognition", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, 637-646, 1998.
21. N. Ramanathan and R. Chellappa, "Face Verification Across Age Progression," IEEE Trans. on Image Processing, vol. 15, no. 11, pp. 3349-3361, 2006.
22. N. Ramanathan and R. Chellappa, "Modeling Age Progression in Young Faces," IEEE Conf. on CVPR'06, pp. 387-394, 2006.
23. S. Yan, H. Wang, T. S. Huang, and X. Tang, "Ranking with Uncertain Labels", IEEE Conference on Multimedia and Expo, 2007.
24. S. Yan et al., "Learning Auto-Structured Regressor from Uncertain Nonnegative Labels", ICCV, 2007.
25. V. N. Vapnik, Statistical Learning Theory, John Wiley, New York, 1998.