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In this paper, a novel approach for gender recognition combining the ellipse face images, Gabor filters, Adaboost learning and SVM classifier is proposed. Face representation based on Harr-like feature, Gabor feature or ICA is an effective method to extract facial appearance information. So we compare these three kinds of features selected by Adaboost method using FERET database. In the first experiment,...
Face representation based on Gabor features is an effective method to extract facial appearance information for the advantages of the Gabor filters. However, Gabor features currently adopted by most systems are redundant and too high dimensional. In this paper, we develop a novel facial expressions recognition approach using AdaBoosted Gabor features, which are not only low dimensional but also discriminant...
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