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In this paper, we address the problem of matching faces across changes in pose in unconstrained videos. We propose two methods based on 3D rotation and sparse representation that compensate for changes in pose. The first is Sparse Representation-based Alignment (SRA) that generates pose aligned features under a sparsity constraint. The mapping for the pose aligned features are learned from a reference...
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