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In this paper, a diffusion-based iterative algorithm is proposed for illumination invariant face representation using image selective smoothing in DCT domain. In fact, we split the image I into three parts (R+w)+L of an illumination invariant component, an oscillating component and a smooth component. At each iteration, the influence of different frequency sub-bands of image is determined and the...
In this paper we address the problem of illumination invariant face recognition. Using a fundamental concept that in general, patterns from a single object class lie on a linear subspace, we develop a linear model representing a probe image as a linear combination of class-specific galleries. In the presence of noise, the well-conditioned inverse problem is solved using the robust Huber estimation...
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