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In this paper, we propose a novel fusion-based gender classification method that is able to compensate for facial expression even when training samples contain only neutral expression. We perform experimental investigation to evaluate the significance of different facial regions in the task of gender classification. Three most significant regions are used in our fusion-based method. The classification...
In this paper, we describe an experimental investigation to evaluate the significance of different facial regions of a person in the task of gender classification. For this purpose we use a support vector machine (SVM) classifier on face images for gender classification. We perform experiments using different facial regions of varying resolution so that the significance of facial regions in this application...
In this paper, we present a novel age estimation method that is able to deal with varying face expressions. We construct two efficient descriptors for face appearance which are robust to expression variations. One is termed as Proportion Descriptor constructed by proportion indices based on facial geometric features, the other is termed as Local Descriptor based on local facial texture features extracted...
Recently, gender classification from face images has attracted a great deal of attention. It can be useful in many places. In this paper, a novel hybrid face coding method by fusing appearance features and geometry features is presented. We choose Haar wavelets to represent the appearance features and use AdaBoost algorithm to select stronger features. Geometry features are regarded as apriori knowledge...
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