A study on automatic age estimation using a large database

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 1986-1991

  Guo, Guodong ^a   Mu, Guowang ^b   Fu, Yun ^c   Dyer, Charles ^d   Huang, Thomas ^e  

^a WEST VIRGINIA UNIVERSITY   (United States)

^b NCCU ^*  (United States)

^c BBN TECHNOLOGIES   (United States)

^d UNIVERSITY OF WISCONSIN MADISON   (United States)

^e UIUC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGE ESTIMATION; AGE GROUPS; ERROR REDUCTION; FACE REPRESENTATIONS; HUMAN AGE ESTIMATION; LARGE DATABASE; MANIFOLD LEARNING;

COMPUTER VISION; DATABASE SYSTEMS; ESTIMATION; LEARNING ALGORITHMS;

FACE RECOGNITION;

EID: 77953227243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459438     Document Type: Conference Paper

References (35)

1. Aging of the face. http://www.face-and-emotion.com/dataface/facets/aging. jsp.
2. Electronic Customer Relationship Management (ECRM). http://en.wikipedia. org/wiki/ECRM.
3. D. Cai, X. He, J. Han, and H. Zhang. Orthogonal laplacianfaces for face recognition. IEEE Trans. on Image Processing, 15:3608-3614, 2006.
4. D. Cai, X. He, K. Zhou, J. Han, and H. Bao. Locality sensitive discriminant analysis. In Proc. Int. Joint Conf. on Artificial Intell., 2007.
5. T. Cootes, G. Edwards, and C. Taylor. Active appearance models. In European Conf. on Computer Vision, pages 484-498, 1998.
6. Y. Fu and T. S. Huang. Human age estimation with regression on discriminative aging manifold. IEEE Trans. on Multimedia, 10(4):578-584, 2008.
7. Y. Fu, Y. Xu, and T. S. Huang. Estimating human ages by manifold analysis of face pictures and regression on aging features. In IEEE Conf. on Multimedia and Expo, pages 1383-1386, 2007.
8. X. Geng, Z.-H. Zhou, and K. Smith-Miles. Automatic age estimation based on facial aging patterns. IEEE Trans. on PAMI, 29(12):2234-2240, 2007.
9. X. Geng, Z.-H. Zhou, Y. Zhang, G. Li, and H. Dai. Learning from facial aging patterns for automatic age estimation. In ACM Conf. on Multimedia, pages 307-316, 2006.
10. G. Guo, Y. Fu, C. Dyer, and T. Huang. Image-based human age estimation by manifold learning and locally adjusted robust regression. IEEE Trans. Image Proc., 17(7):1178-1188, 2008.
11. 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.
12. G. Guo, Y. Fu, T. S. Huang, and C. Dyer. A probabilistic fusion approach to human age prediction. In IEEE CVPR-SLAM workshop, 2008.
13. G. Guo, G. Mu, Y. Fu, and T. S. Huang. Human age estimation using bioinspired features. In IEEE CVPR, 2009.
14. J. Hayashi, M. Yasumoto, H. Ito, and H. Koshimizu. A method for estimating and modeling age and gender using facial image processing. In Seventh Int. Conf. on Virtual Systems and Multimedia, pages 439-448, 2001.
15. Y. Kwon and N. Lobo. Age classification from facial images. Computer Vision and Image Understanding, 74(1):1-21, 1999.
16. A. Lanitis, C. Draganova, and C. Christodoulou. Comparing different classifiers for automatic age estimation. IEEE Trans. on SMC-B, 34(1):621-628, 2004.
17. E. Meyers and L.Wolf. Using biologically inspired features for face processing. Int. J. Comput. Vis., 76:93-104, 2008.
18. J. Mutch and D. Lowe. Object class recognition and localization using sparse features with limited receptive fields. In Conf. on Comput. Vision and Pattern Recognit., pages 11-18, 2006.
19. E. Patterson, A. Sethuram, M. Albert, K. Ricanek, and M. King. Aspects of age variation in facial morphology affecting biometrics. In IEEE Conf. on Biometrics: Theory, Applications, and Systems, 2007.
20. N. Ramanathan and R. Chellappa. Face verification across age progression. IEEE Trans. on Image Processing, 15(11):3349-3361, 2006.
21. K. Ricanek and E. Boone. The effect of normal adult aging on standard pca face recognition accuracy rates. In International Joint Conf. on Neural Networks, pages 2018-2023, 2005.
22. M. Riesenhuber and T. Poggio. Hierarchical models of object recognition in cortex. Nature Neuroscience, 2(11):1019-1025, 1999.
23. T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio. Robust object recognition with cortex-like mechanisms. IEEE Trans. Pattern Anal. Mach. Intell., 29(3):411-426, 2007.
24. T. Serre, L. Wolf, and T. Poggio. Object recognition with features inspired by visual cortex. In Conf. on Comput. Vision and Pattern Recognit., 2005.
25. J. Suo, T.Wu, S. Zhu, S. Shan, X. Chen, andW. Gao. Design sparse features for age estimation using hierarchical face model. In IEEE Int'l Conf. on Automatic Face and Gesture Recognition, 2008.
26. K. Ueki, T. Hayashida, and T. Kobayashi. Subspace-based age-group classification using facial images under various lighting conditions. In IEEE conf. on FGR, 2006.
27. V. N. Vapnik. Statistical Learning Theory. John Wiley, New York, 1998.
28. A. R. Webb. Statistical Pattern Recognition, 2nd Edition. John Wiley, 2002.
29. S. Yan, M. Liu, and T. Huang. Extracting age information from local spatially flexible patches. In IEEE conf. on ICASSP, pages 737-740, 2008.
30. S. Yan, H. Wang, T. S. Huang, and X. Tang. Ranking with uncertain labels. In IEEE conf. on Multimedia and Expo, pages 96-99, 2007.
31. S. Yan, H. Wang, X. Tang, and T. Huang. Learning auto-structured regressor from uncertain nonnegative labels. In IEEE conf. on ICCV, 2007.
32. S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin. Graph embedding and extensions: A general framework for dimensionality reduction. IEEE Trans. Pattern Anal. Mach. Intell., 29:40-51, 2007.
33. S. Yan, X. Zhou, M. Liu, M. Hasegawa-Johnson, and T. Huang. Regression from patch-kernel. In IEEE conf. on CVPR, 2008.
34. Z. Yang and H. Ai. Demographic classification with local binary patterns. In Int. Conf. on Biometrics, pages 464-473, 2007.
35. S. Zhou, B. Georgescu, X. Zhou, and D. Comaniciu. Image based regression using boosting method. In IEEE conf. on ICCV, pages 541-548, 2005.