Face Detection Using Cascade Cassifier with 7 Layers Based on the Humans Images
DOI:
https://doi.org/10.53555/nncse.v2i2.505Keywords:
Age Classification, Aging, Face Support Vector Machine, SVMAbstract
Age of human can be inferred by distinct patterns emerging from the facial appearance. Humans can easily distinguish which person is elder and which is older between two persons. When inferring a person's age, the comparison is done with his/her face and with many people whose ages are known, resulting in a series of comparative series, and then judgment is done based on the comparisons. The computer based age classification has become particularly prevalent topics recently. In this paper age classification is done by using Support Vector Machine technique. In variety of applications SVM has achieved excellent generalization performance.
References
http://www.scholarpedia.org/article/Facial_Age_Es timationinternational association for pattern recognition Volume 25 Number 1 Winter 2003. http://amath.colorado.edu/computing/Matlab/Tutorial /ImageProcess.html
Gonzalez R.C and Woods R.E (2008), Digital Image Processing Third edition, Pearson Education. Gonzalez R.C , Woods R.E and Eddins
L. (2008), " Digital Image Processing Using MATLAB", Pearson Education
Erno Makinen. Introduction to Computer Vision from Automatic Face Analysis Viewpoint, Department of Computer Sciences University of
Tampere, Finland
Duda R. and Hart P. Pattern Classification and Scene Analysis, Wiley, New York 1973
Nello Cristianini and John Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods,
Cambridge University Press, 2000
Tan PN, et al. Introduction to Data Mining (First Edn) 2005, Addison Wesley
Y.H. Kwon and N. da Vitoria Lobo. Age Classification from Facial Images, Computer Vision and Image Understanding Journal 74(1),
pp. 1-21, 1999
Lanitis, C. J. Taylor and T.F. Cootes. Toward Automatic Simulation of Aging Effects on Face Images, IEEE Transactions of pattern analysis andm machine intelligence, 24(4), pp 442-455, 2002
Lanitis, C. Draganova C. and C. Christodoulou C. Comparing Different classifiers for automatic Age Estimation,. IEEE Transactions on Systems Man and Cybernetics, Part B,34(1), pp 621-629, 2004
Geng, Z.H. Zhou and K. Smith-Miles. Automatic Age Estimation Based on Facial Aging Patterns, IEEE Transactions of Pattern Analysis and Machine Intelligence, 29(12), pp. 2234-2240, 2004
Y. Fu and T.S. Huang. Human Age Estimation with Regression on Discriminative Aging Manifold, IEEE Transactions on Multimedia,
(4), pp. 578-584, 2008
J.G. Wang, W. Y. Yau and H.L. Wang. Age Categorization via ECOC with Fused Gabor and LBP Features, Procs. Of the IEEE Workshop on
Applications of Computer Vision(WACV), pp. 313318, 2009
J. Suo, T. Wu, S. Zhu, S. Shan, X. Chen and W. Gao. Design Sparse Features for Age Estimation using Hierarchical Face Model, Proc. of
the 8 th IEEE International Conference on Automatic Face and Gesture Recognition, 2008
Viola, P. and Jones, M. Robust real-time face detection, International Journal of Computer Vision 57(2), pp. 137-154, 2004
Viola, P. and Jones, M. Rapid Object Detection using a Boosted Cascade of Simple Features, CVPR 2001
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