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- W2143546616 abstract "The registration problem for images of a deforming surface has been well studied. External occlusions are usually well handled. In 2D image-based registration, self-occlusions are more challenging. Consequently, the surface is usually assumed to be only slightly self-occluding. This paper is about image-based nonrigid registration with self-occlusion reasoning. A specific framework explicitly modeling self-occlusions is proposed. It is combined with an intensity-based, direct data term for registration. Self-occlusions are detected as shrinkage areas in the 2D warp. Experimental results on several challenging data sets show that our approach successfully registers images with self-occlusions while effectively detecting the self-occluded regions." @default.
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- W2143546616 date "2010-01-01" @default.
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- W2143546616 title "Direct Estimation of Nonrigid Registrations with Image-Based Self-Occlusion Reasoning" @default.
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- W2143546616 doi "https://doi.org/10.1109/tpami.2008.265" @default.
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