Face recognition with continuous occlusion using partially iteratively reweighted sparse coding


Partially occluded faces are common in automatic face recognition in the real world. Existing methods, such as sparse error correction with Markov random fields, correntropy-based sparse representation and robust sparse coding, are all based on error correction, which relies on the perfect reconstruction of the occluded facial image and limits their… (More)
DOI: 10.1109/ACPR.2011.6166617


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