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Techniques from sparse representation have been successfully applied in many areas like digital image processing, computer vision and pattern recognition in the past ten years. However, sparsity based methods in geometric processing is far from popular than its applications in these areas. The main reason is that geometric signal is a two-dimensional manifold and its discrete representations are always...
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