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In this paper, a customized sparse representation model is proposed to take advantage of the variational information for undersampled face recognition. The proposed model with the mixed norm is a generalization of the extended sparse representation-based classification model. This model guarantees the sparsity of representation coefficient and the robustness for the variational information from generic...
The single sample per person (SSPP) problem is of great importance for real-world face recognition systems. In SSPP scenario, there is always a large gap between a normal sample enrolled in the gallery set and the non-ideal probe sample. It is a crucial step for face recognition with SSPP to bridge the gap between the ideal and non-ideal samples. For this purpose, we propose a Variational Feature...
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