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Comparing different classifiers for automatic age estimation.

IEEE Trans Syst Man Cybern B Cybern

February 2004

Department of Computer Science and Engineering, Cyprus College, Nicosia, Cyprus.

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.

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