Face Recognitio Point

In this paper, a novel regularized nea method is proposed for image sets based face modeling an image set as a regularized affine regularized nearest points (RNP), one on each are automatically determined by an efficient ite between-set distance of RNP is then defined by the distance between the RNPs and the structu Compared with the recently developed spar nearest points (SANP) method, RNP has formulation, less variables and lower time com experiments on benchmark databases (e.g., Ho Mobo and YouTube databases) clearly show th RNP consistently outperforms state-of-the-art accuracy and efficiency.

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