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Mind the Gap: Tele-Registration for Structure-Driven Image Completion
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DOI：10.1145/2508363.2508373.png)
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摘要
En 中文
Concocting a plausible composition from several non-overlapping image pieces, whose relative positions are not fixed in advance and without having the benefit of priors, can be a daunting task. Here we propose such a method, starting with a set of sloppily pasted image pieces with gaps between them. We first extract salient curves that approach the gaps from non-tangential directions, and use likely correspondences between pairs of such curves to guide a novel tele-registration method that simultaneously aligns all the pieces together. A structure-driven image completion technique is then proposed to fill the gaps, allowing the subsequent employment of standard in-painting tools to finish the job.
Keyword:
image completion
image editing
registration
stitching
texture synthesis
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4.7K
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