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- W2117519317 abstract "We introduce a novel image segmentation algorithm that uses translational symmetry as the primary foreground/background separation cue. We investigate the process of identifying and analyzing image regions that present approximate translational symmetry for the purpose of image forground/background separation. In conjunction with texture-based inpainting, understanding the different see-through layers allows us to perform powerful image manipulations such as recovering a mesh-occluded background (as much as 53% occluded area) to achieve the effect of image and photo de-fencing. Our algorithm consists of three distinct phases- (1) automatically finding the skeleton structure of a potential frontal layer (fence) in the form of a deformed lattice, (2) separating foreground/background layers using appearance regularity, and (3) occluded foreground inpainting to reveal a complete, non-occluded image. Each of these three tasks presents its own special computational challenges that are not encountered in previous, general image de-layering or texture inpainting applications." @default.
- W2117519317 created "2016-06-24" @default.
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- W2117519317 date "2008-06-01" @default.
- W2117519317 modified "2023-09-23" @default.
- W2117519317 title "Image de-fencing" @default.
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- W2117519317 doi "https://doi.org/10.1109/cvpr.2008.4587493" @default.
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