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In this paper, we propose a real-time face detection approach based on local structure and texture of the objects in gray-level images. Our strategy is to map the local spatial structures and image textures of face class into binary patterns, and use these binary patterns as local descriptors. Boosting based face detector is constructed using these local descriptors, and cascade scheme is employed...
Fisher Linear Discriminant Analysis (FLDA) has been successfully applied to face recognition, which is based on a linear projection from the image space to a low dimensional space by maximizing the between-class scatter and minimizing the within-class scatter. However, face image data distribution in practice is highly complex because of illumination, facial expression and pose variations. We present...
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