Age classification using Radon transform and entropy based scaling SVM

BMVC 2011 - Proceedings of the British Machine Vision Conference 2011

Volumn , Issue , 2011, Pages

  Zhou, Huiyu ^a   Miller, Paul ^a   Zhang, Jianguo ^b  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ENTROPY; MATHEMATICAL TRANSFORMATIONS;

AGE CLASSIFICATION; ENTROPY ESTIMATION; GAUSSIAN FILTERS; IRRELEVANT VARIABLES; RADON TRANSFORM; RECOGNITION ACCURACY; STATE OF THE ART; SUPPORT VECTOR MACHINE CLASSIFIERS;

SUPPORT VECTOR MACHINES;

EID: 84898475752     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C25.28     Document Type: Conference Paper

References (44)

1. The FG-NET aging database. http://sting.cycollege.ac.cy/~alanitis/, 2002.
2. T.J. Andrews, J. Davies-Thompson, A. Kingstone, and A.W. Young. Internal and external features of the face are represented holistically in face-selective regions of visual cortex. The J. of Neurosci., 30(9):3544-3552, 2010.
3. N.V. Boulgouris and Z.X. Chi. Gait recognition using radon transform and linear discriminant analysis. IEEE Trans. on Image Proc., 16(3):731-740, 2007.
4. G.C. Cawley and N.L.C. Talbot. Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Netw., 17(10):1467-1475, 2004.
5. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. of CVPR, pages 886-893, 2005.
6. H. Dehon and S. Bredart. An 'other-race' effect in age estimation from faces. Perception, 30(9):1107-1113, 2001.
7. M.M. Dehshibi and A. Bastanfard. A new algorithm for age recognition from facial images. Signal Process., 90:2431-2444, August 2010.
8. D. Enlow. The handbook of facial growth (2nd ed.). London: W.B. Saunders, 1982.
9. Y. Fu and T.S. Huang. Human age estimation with regression on discriminative aging manifold. IEEE Trans. Multimedia, 10(4):578-584, 2008.
10. Y. Fu, G. Guo, and T.S. Huang. Age synthesis and estimation via faces: A survey. IEEE Trans. Pattern Anal. Mach. Intell., 32:1955-1976, November 2010.
11. X. Geng, Z.-H. Zhou, and K. Smith-Miles. Automatic age estimation based on facial aging patterns. IEEE Trans. PAMI, 29(12):2234-2240, 2007.
12. Y. Grandvalet and S. Canu. Adaptive scaling for feature selection in svms. In NIPS, pages 553-560, 2002.
13. J. Han and K.-K. Ma. Rotation-invariant and scale-invariant gabor features for texture image retrieval. Image Vision Comput., 25(9):1474-1481, 2007.
14. J. Hayashi, M. Yasumoto, H. Ito, Y. Niwa, and H. Koshimizu. Age and gender estimation from facial image processing. In Proc. of he 41st SICE Annual Conference, pages 13-18, 2002.
15. A. J. Howell and H. Buxton. Towards unconstrained face recognition from image sequences. In Proc. of International Conference on Automatic Face and Gesture Recognition, pages 224-229, 1996.
16. K. Jafari-Khouzani and H. Soltanian-Zadeh. Radon transform orientation estimation for rotation invariant texture analysis. IEEE Trans. PAMI, 27(6):1004-1008, 2005.
17. A. Jain and D. Zongker. Feature selection: Evaluation, application, and small sample performance. IEEE Trans. PAMI, 19(2):153-158, 1997.
18. Y. Ke and R. Sukthankar. PCA-SIFT: A more distinctive representation for local image descriptors. In Proc. CVPR, 2004.
19. Y.H. Kwon and Niels da Vitoria Lobo. Age classification from facial images. Comput. Vis. Image Underst., 74(1):1-21, 1999.
20. A. Lanitis, C. Draganova, and C. Christodoulou. Comparing different classifiers for automatic age estimation. IEEE Trans. Syst. Man Cybern. Part B, 34(1):621-628, 2004.
21. D. Lowe. Distinctive image features from scale-invariant keypoints. Int'l J. of Comput. Vis., 60(2):91-110, 2004.
22. F. Matus and J. Flusser. Image representation via a finite radon transform. IEEE Trans. PAMI, 15:996-1006, 1993.
23. B.W. Mel. Seemore: Combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition. NeurComp, 9(4):777-804, May 1997.
24. K. Mikolajczyk, B. Leibe, and B. Schiele. Local features for object class recognition. In Proc. ICCV, 2005.
25. H. Peng, F. Long, and C. Ding. Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. PAMI, 27: 1226-1238, 2005.
26. E. Rahtu and J. heikkila. A new affine invariant image transform based on ridgelets. In Proc. British Machine Vision Conference, 2006.
27. A. Rakotomamonjy. Variable selection using svm based criteria. J. Mach. Learn. Res., 3:1357-1370, 2003.
28. M.G. Rhodes. Age estimation of faces: a review. Applied Cognit. Psychol., 27(2): 1-12, 2009.
29. K. Ricanek Jr. and T. Tesafaye. MORPH: A longitudinal image database of normal adult age-progression. In Proc. of FGR, pages 341-345, 2006.
30. J.J. Ruiz-Hernandez, J.L. Crowley, and A. Lux. "how old are you?,": Age estimation with tensors of binary gaussian receptive maps. In British Machine Vision Conference, pages 1-11, 2010.
31. C. Shan. Learning local features for age estimation on real-life faces. In Proc. of ACM International Workshop on Multimodal Pervasive Video Analysis, pages 23-28, 2010.
32. J. Suo, X. Chen, S. Shan, and W. Gao. Learning long term face aging patterns from partially dense aging databases. In Proc. ICCV, pages 622-629, 2009.
33. M.A. Taister, S.D. Holliday, and H.I.M. Borrman. Comments on facial aging in law enforcement investigation. Foren. Sci. Comm., 2(2):11, 2000.
34. X. Tan and B. Triggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. In Int'l Workshop on Analy. and Modeling of Faces and Gestures, pages 168-182, 2007.
35. X. Tan and B. Triggs. Fusing Gabor and LBP feature sets for kernel-based face recognition. In Int'l Workshop on Analysis and Modeling of Faces and Gestures, pages 235-249, 2007.
36. M. Turk and A. Pentland. Eigenfaces for recognition. J. Cog. Neurosci., 3(1):71-86, 1991.
37. P. Viola and M.J. Jones. Robust real-time face detection. Int'l J. Comput. Vision, 57 (2):137-154, 2004.
38. X. Wang and X. Tang. Face photo-sketch synthesis and recognition. IEEE Trans. PAMI, 31(11):1955-1967, 2009.
39. X. Wang, B. Xiao, J.-F. Ma, and X.-L. Bi. Scaling and rotation invariant analysis approach to object recognition based on radon and fourier-mellin transforms. Pattern Recogn., 40(12):3503-3508, 2007.
40. X. Wang, F.-X. Guo, B. Xiao, and J.-F. Ma. Rotation invariant analysis and orientation estimation method for texture classification based on radon transform and correlation analysis. J. Vis. Comun. Image Represent., 21(1):29-32, 2010.
41. G.I. Webb and X. Yu, editors. Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence, Volume 3339 of Lecture Notes in Computer Science. Springer, 2004.
42. J.-D. Wu and S.-H. Ye. Driver identification using finger-vein patterns with radon transform and neural network. Exp. Syst. with Applic.: An Intern. J., 36(3):5793-5799, 2009.
43. J.J. Yokono and T. Poggio. Oriented filters for object recognition: an empirical study. In FGR, page 755, 2004.
44. Z. Zhao and H. Liu. Spectral feature selection for supervised and unsupervised learning. In Proc. of ICML, pages 1151-1157, 2007.