Comparing different classifiers for automatic age estimation

Article


Lanitis, Andreas, Draganova, Chrisina and Christodoulou, Chris 2004. Comparing different classifiers for automatic age estimation. IEEE Transactions on Systems Man and Cybernetics, Part B Cybernetics. 34 (1), pp. 621-8.
AuthorsLanitis, Andreas, Draganova, Chrisina and Christodoulou, Chris
Abstract

We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context we generate a statistical model of facial appearance, which is subsequently used as the basis for obtaining a compact parametric description of face images. The aim of our work is to design classifiers that accept the model-based representation of unseen images and produce an estimate of the age of the person in the corresponding face image. For this application we have tested different classifiers: a classifier based on the use of quadratic functions for modeling the relationship between face model parameters and age, a shortest distance classifier and artificial neural network based classifiers. We also describe variations to the basic method where we use age-specific and/or appearance specific age estimation methods. In this context we use age estimation classifiers for each age group and/or classifiers for different clusters of subjects within our training set. In those cases part of the classification procedure is devoted to choosing the most appropriate classifier for the subject/age range in question, so that more accurate age estimates can be obtained. We also present comparative results concerning the performance of humans and computers in the task of age estimation. Our results indicate that machines can estimate the age of a person almost as reliably as humans.

Keywordsfacial recognition systems; automatic age estimation
JournalIEEE Transactions on Systems Man and Cybernetics, Part B Cybernetics
Journal citation34 (1), pp. 621-8
ISSN1083-4419
Year2004
Accepted author manuscript
License
CC BY-ND
Web address (URL)http://dx.doi.org/10.1109/TSMCB.2003.817091
http://hdl.handle.net/10552/608
Publication dates
PrintFeb 2004
Publication process dates
Deposited22 Feb 2010
Additional information

Citation:
Lanitis A., Draganova, C. and Christodoulou C. (2004) ‘Comparing different classifiers for automatic age estimation’ IEEE Transactions on Systems Man and Cybernetics, Part B Cybernetics 34 (1) 621-8.

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