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• W2125952053 abstract "In this paper, we study the problem of subspace-based face recognition under scenarios with spatial misalignments and/or image occlusions. For a given subspace, the embedding of a new datum and the underlying spatial misalignment parameters are simultaneously inferred by solving a constrained lscr1 norm optimization problem, which minimizes the error between the misalignment-amended image and the image reconstructed from the given subspace along with its principal complementary subspace. A byproduct of this formulation is the capability to detect the underlying image occlusions. Extensive experiments on spatial misalignment estimation, image occlusion detection, and face recognition with spatial misalignments and image occlusions all validate the effectiveness of our proposed general formulation." @default.
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• W2125952053 date "2008-06-01" @default.
• W2125952053 modified "2023-09-22" @default.
• W2125952053 title "Misalignment-robust face recognition" @default.
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• W2125952053 doi "https://doi.org/10.1109/cvpr.2008.4587804" @default.
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