Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1145/2508363.2508373 | ACM Trans. Graph. |
Keywords | Field | DocType |
structure-driven image completion technique,daunting task,plausible composition,extract salient curve,non-overlapping image piece,likely correspondence,sloppily pasted image piece,novel tele-registration method,relative position,non-tangential direction,stitching,texture synthesis | Computer vision,Image stitching,Computer graphics (images),Computer science,Image editing,Artificial intelligence,Prior probability,Texture synthesis,Salient | Journal |
Volume | Issue | ISSN |
32 | 6 | 0730-0301 |
Citations | PageRank | References |
12 | 0.49 | 27 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hui Huang | 1 | 694 | 52.19 |
Kangxue Yin | 2 | 50 | 3.66 |
Minglun Gong | 3 | 1340 | 85.53 |
Dani Lischinski | 4 | 5465 | 340.85 |
Daniel Cohen-Or | 5 | 10588 | 533.55 |
Uri Ascher | 6 | 129 | 12.07 |
Baoquan Chen | 7 | 2095 | 111.30 |