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High dimension of the features employed for face recognition is the main reason to slow down the recognition speed. Additionally, selecting salient facial features has significant impact on the efficiency of face recognition. In order to get the sparse and salient facial features, this paper propose a new sparse learning approach for salient facial feature description. This approach is to learn the...
The classical local binary pattern (LBP) method for facial feature description leads to a high feature dimensionality which requires expensive computational cost for face recognition and ignores the difference of contributions by different features in the same region. In this paper, we propose a structured sparse learning approach for efficient facial feature description. Firstly, a structured sparse...
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