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Nonlocal regularization has been verified as an effective way to estimate optical flow. Most work in this line constructs the regularizer by only considering the structure of regular grid-like nonlocal neighborhood, but not explicitly takes advantage of the global structure. In this paper, we propose to construct a super pixel based region tree to explicitly incorporate the global structure information...
Recently, regression analysis based classification methods are popular for robust face recognition. These methods use a pixel-based error model, which assumes that errors of pixels are independent. This assumption does not hold in the case of contiguous occlusion, where the errors are spatially correlated. Observing that occlusion in a face image generally leads to a low-rank error image, we propose...
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