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In this paper, we propose a novel fusion-based gender classification method for 3D frontal neutral expression facial shape. Face landmarks, extracted from 3D face shape based on profiles and curvature, are separated as four regions. Experimental investigation to evaluate the significance of different facial regions in the task of gender classification is performed. The classification is performed...
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...
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