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In recent years, Sparse Representation based classification (SRC) has made great progress in Face Recognition. However, SRC is only efficient and effective when the noise is sparse. The recognition rate of SRC decreases when the noise is non-Gaussian, for example, the light on the face is quite various or the face is covered in part by a mask. In this paper, we propose a robust l2,1-norm Sparse Representation...
Human face recognition technology is one of the hottest research in the field of pattern recognition at present. In this paper, the principle component analysis (PCA) and bidirectional principle component analysis (BDPCA) methods are proposed to recognize a grayscale face image, for which the size of the spatial distribution is 64 × 64. At first, the main part of the face is extracted to form the...
Plausible human face reconstruction is an active topic of virtual human research and has amounts of achievements. However, most of them require abundant image source and complex manual operations. In this paper, we propose a method for reconstructing 3D face models using only one frontal face image. Six neutral head models of male and female in three human races are used as the prototypes and one...
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