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We propose in this letter two new subspace learning methods, called nearest feature space analysis (NFSA) and discriminant nearest feature space analysis (DNFSA), for pattern classification. While many subspace learning algorithms have been proposed in recent years, most of them apply the conventional nearest neighbor (NN) metric to derive the subspace and may not effectively characterize the geometrical...
This paper proposes a fully automatic framework for static human head pose estimation. With a 2D human multi-view face image as input, the face region is detected and cropped out. Then the pose of the face is assessed by the pose categories. Based on the appearance of the face region, variant subspace learning methods including principal component analysis (PCA), linear discriminant analysis (LDA),...
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