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Occlusion problem is one of remaining challenges in face recognition. This work expresses an occluded image as the summation of a non-occluded image and a sparse occlusion. By solving a l1 norm minimization problem, we isolate the sparse occlusion from the face image, and simultaneously reconstruct the image. The reconstructed image is same to the original one in most pixels. To classify an occluded...
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