Hierarchical age estimation with dissimilarity-based classification

Neurocomputing

Volumn 120, Issue , 2013, Pages 164-176

  Kohli, Sharad ^a   Prakash, Surya ^a   Gupta, Phalguni ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Active appearance model; Age estimation; Age progression; Biometrics; Ensemble classifiers

Indexed keywords

ACTIVE APPEARANCE MODELS; AGE ESTIMATION; AGE PROGRESSION; ENSEMBLE CLASSIFIERS; ENSEMBLE OF CLASSIFIERS; MISCLASSIFICATION ERROR; REGRESSION FUNCTION; SHAPE AND APPEARANCE MODEL;

BIOINFORMATICS; BIOMETRICS; DATABASE SYSTEMS; FACE RECOGNITION;

INTELLIGENT COMPUTING;

ACCURACY; ACTIVE APPEARANCE MODEL; AGE DETERMINATION; AGING; AGING PATTERN SUBSPACE ALGORITHM; ARTICLE; CLASSIFICATION ALGORITHM; CLASSIFIER; EXPERIMENTAL DESIGN; FACIES; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; INDIAN; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; SCORING SYSTEM; SYSTEMATIC ERROR;

EID: 84882871948     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.08.069     Document Type: Article

References (43)

1. Wagner A., Wright J., Ganesh A., Zhou Z., Mobahi H., Ma Y. Toward a practical face recognition system. robust alignment and illumination by sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 2012, 34(2):372-386.
2. Pang Y., Yan H., Yuan Y., Wang K. Robust cohog feature extraction in human-centered image/video management system. IEEE Trans. Syst. Man Cybern. Part B 2012, 42(2):458-468.
3. R. Chellappa, C. Wilson, S. Sirohey, Human and machine recognition of faces: a survey, in: Proceedings of the IEEE, vol. 83, 1995, pp. 705-741.
4. Fasel B., Luettin J. Automatic facial expression analysis. a survey. Pattern Recognition 2003, 36(1):259-275.
5. O'toole A.J., Deffenbacher K.A., Valentin D., Mckee K., Huff D., Abdi H. The perception of face gender. the role of stimulus structure in recognition and classification. Memory Cogn. 1997, 26(1):146-160.
6. Pang Y., Yuan Y., Wang K. Learning optimal spatial filters by discriminant analysis for brain-computer-interface. Neurocomputing 2012, 77(1):20-27.
7. Pang Y., Yuan Y., Li X. Gabor-based region covariance matrices for face recognition. IEEE Trans. Circuits Syst. Video Technol. 2008, 18(7):989-993.
8. 1-norm. IEEE Trans. Circuits Syst. Video Technol. 2010, 20(2):172-178.
9. Naseem I., Togneri R., Bennamoun M. Linear regression for face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32(11):2106-2112.
10. Kumar R., Banerjee A., Vemuri B., Pfister H. Trainable convolution filters and their application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 2012, 34(7):1423-1436.
11. Lanitis A., Taylor C., Cootes T. Toward automatic simulation of aging effects on face images. IEEE Trans. Pattern Anal. Mach. Intell. 2002, 24(4):442-455.
12. N. Ramanathan, R. Chellappa, Face verification across age progression, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 462-469.
13. Albert K.R.M., Patterson E. A review of the literature on the aging adult skull and face. implications for forensic science research and applications. Forensic Sci. Int. 2007, 172(1):1-9.
14. A. Stone, The aging process of the face and techniques of rejuvenation 〈〉. http://www.aaronstonemd.com/Facial_Aging_Rejuvenation.shtm.
15. Fu Y., Guo G., Huang T. Age synthesis and estimation via faces. a survey. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32(11):1955-1976.
16. Edwards G.J., Lanitis A., Taylor C.J., Cootes T.F. Statistical models of face images-improving specificity. Image Vision Comput. 1998, 16(3):203-211.
17. Kwon Y.H., da Vitoria Lobo N. Age classification from facial images. Comput. Vision Image Understanding 1999, 74(1):1-21.
18. Geng X., Zhou Z.-H., Smith-Miles K. Automatic age estimation based on facial aging patterns. IEEE Trans. Pattern Anal. Mach. Intell. 2007, 29(12):2234-2240.
19. X. Geng, K. Smith-miles, Z. Hua Zhou, Facial age estimation by nonlinear aging pattern subspace, in: Proceedings of 16th ACM International Conference on Multimedia, 2008, pp. 721-724.
20. G. Guo, Y. Fu, T. Huang, C. Dyer, Locally adjusted robust regression for human age estimation, in: Proceedings of IEEE Workshop on Applications of Computer Vision (WACV' 08), 2008, pp. 721-724.
21. Fu Y., Guo G., Huang T.S. Age synthesis and estimation via faces. a survey. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32(11):1955-1976.
22. Fu Y., Huang T.S. Human age estimation with regression on discriminative aging manifold. IEEE Trans. Multimedia 2008, 10(4):578-584.
23. J. Hayashi, M. Yasumoto, H. Ito, H. Koshimizu, A method for estimating and modeling age and gender using facial image processing, in: Proceedings of 7th International Conference on Virtual Systems and Multimedia, 2001, pp. 439-448.
24. H. Fukai, H. Takimoto, Y. Mitsukura, M. Fukumi, Apparent age estimation system based on age perception, in: Proceedings of Annual Conference on Society of Instrument and Control Engineers, 2007, pp. 2808-2812.
25. F. Gao, H. Ai, Face age classification on consumer images with gabor feature and fuzzy lda method, in: Proceedings of 3rd International Conference on Advances in Biometrics, 2009, pp. 132-141.
26. G. Guo, G. Mu, Y. Fu, T. Huang, Human age estimation using bio-inspired features, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 112-119.
27. S. Yan, X. Zhou, M. Liu, M. Hasegawa-Johnson, T. Huang, Regression from patch-kernel, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp. 1-8.
28. K. Ueki, T. Hayashida, T. Kobayashi, Subspace-based age-group classification using facial images under various lighting conditions, in: Proceedings of 7th International Conference on Automatic Face and Gesture Recognition, 2006, pp. 43-48.
29. Cortes C., Vapnik V. Support-vector networks. Mach. Learn. 1995, 20(3):273-297.
30. Smola A.J., Schölkopf B. A tutorial on support vector regression. Stat. Comput. 2004, 14(3):199-222.
31. S. Yan, H. Wang, T. Huang, Q. Yang, X. Tang, Ranking with uncertain labels, in: Proceedings of IEEE International Conference on Multimedia and Expo, 2007, pp. 96-99.
32. K. Luu, K. Ricanek, T.D. Bui, C.Y. Suen, Age estimation using active appearance models and support vector machine regression, in: Proceedings of 3rd IEEE International Conference on Biometrics: Theory, Applications and Systems, 2009, pp. 314-318.
33. S. Kohli, S. Prakash, P. Gupta, Age estimation using active appearance models and ensemble of classifiers with dissimilarity-based classification, in: Proceedings of 7th International Conference on Advanced Intelligent Computing (ICIC'11), Lecture Notes in Computer Science, vol. 6838/2012, 2011, pp. 327-334.
34. Cootes T.F., Edwards G.J., Taylor C.J. Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 2001, 23(6):681-685.
35. Blanco Á., Martín-Merino M., Rivas J.D.L. Ensemble of support vector machines to improve the cancer class prediction based on the gene expression profiles. Innovations Hybrid Intell. Syst. 2008, 44:393-400.
36. Pekalska E., Paclík P., Duin R.P.W. A generalized kernel approach to dissimilarity-based classification. J. Mach. Learn. Res. 2001, 2:175-211.
37. C.-h. Chen, W. Härdle, A. Unwin, M.A.A. Cox, T.F. Cox, Multidimensional Scaling, Springer Handbooks of Computational Statistics, 2008, pp. 315-347.
38. S. Wold, L. Eriksson, N. Kettaneh, PLS in Data Mining and Data Integratio, Handbook of Partial Least Squares, 2010, pp. 327-357.
39. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, I.H. Witten, Weka 3: Data Mining Software in Java, software available at 〉, 2009. http://www.cs.waikato.ac.nz/ml/weka/.
40. C.-C. Chang, C.-J. Lin, LIBSVM: a library for support vector machines, software available at 〈〉, 2001. http://www.csie.ntu.edu.tw/~cjlin/libsvm.
41. The MathWorks Inc., Matlab 7.10.0 (R2010a), software available at 〈〉. http://www.mathworks.com/products/matlab/.
42. The FG-NET Aging Database, available at 〈〉. http://sting.cycollege.ac.cy/~alanitis/fgnetaging/index.htm.
43. Minear M., Park D. A lifespan database of adult facial stimuli. Behav. Res. Methods Instrum. Comput. 2004, 36(4):630-633.