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In face recognition, LBP (Local Binary Patterns) is a very popular method, which can solve the defects of the traditional local feature extraction methods with fixed scale and small extraction scale. However, the LBP operator only describes the relationship between the center pixel and its neighborhood pixels, it ignores the relationship among the operators. 3DLBP (3 Dimensions Local Binary Patterns)...
This paper addresses the problem of tracking and recognizing faces via incremental local sparse representation. We first develop a robust face tracking algorithm based on the local sparse appearance. This sparse representation model exploits both partial and spatial information of the face based on a covariance pooling method. Following in the face recognition stage, with the employment of a novel...
Illumination variation is one of the critical factors affecting face recognition rate. A novel illumination compensation for face recognition is presented in this paper. First of all, a new illumination direction map is introduced, which is built using the block-based histogram equalization (Xudong Xie and Kin-Man Lam, 2005) and illumination model. Secondly, plane-fit method can be used to determine...
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