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In this paper, we propose a low-complexity method to learn pose-invariant features for face recognition with no need for pose information. In contrast to the commonly used approaches of recovering frontal face images from profile views, the proposed method extracts the subject related part from a local feature by removing its pose related part. First, the method generates a self-similarity feature...
In this paper, we present a local feature learning method for face recognition to deal with varying poses. As opposed to the commonly used approaches of recovering frontal face images from profile views, the proposed method extracts the subject related part from a local feature by removing the pose related part in it on the basis of a pose feature. The method has a closed-form solution, hence being...
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