Mind the Gap: Tele-registration for structure-driven image completion

Hui Huang*, Kangxue Yin, Minglun Gong, Dani Lischinski, Daniel Cohen-Or, Uri Ascher, Baoquan Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

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.

Original languageAmerican English
Article number174
JournalACM Transactions on Graphics
Volume32
Issue number6
DOIs
StatePublished - Nov 2013

Keywords

  • Image completion
  • Image editing
  • Registration
  • Stitching
  • Texture synthesis

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