Low-rank representations with incoherent dictionary for face recognition

10 Dec 2019Pei XieHe-Feng YinXiao-Jun Wu

Face recognition remains a hot topic in computer vision, and it is challenging to tackle the problem that both the training and testing images are corrupted. In this paper, we propose a novel semi-supervised method based on the theory of the low-rank matrix recovery for face recognition, which can simultaneously learn discriminative low-rank and sparse representations for both training and testing images... (read more)

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