Repfinder: Finding approximately repeated scene elements for image editing
KAUST DepartmentComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Visual Computing Center (VCC)
Permanent link to this recordhttp://hdl.handle.net/10754/575545
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AbstractRepeated elements are ubiquitous and abundant in both manmade and natural scenes. Editing such images while preserving the repetitions and their relations is nontrivial due to overlap, missing parts, deformation across instances, illumination variation, etc. Manually enforcing such relations is laborious and error-prone. We propose a novel framework where user scribbles are used to guide detection and extraction of such repeated elements. Our detection process, which is based on a novel boundary band method, robustly extracts the repetitions along with their deformations. The algorithm only considers the shape of the elements, and ignores similarity based on color, texture, etc. We then use topological sorting to establish a partial depth ordering of overlapping repeated instances. Missing parts on occluded instances are completed using information from other instances. The extracted repeated instances can then be seamlessly edited and manipulated for a variety of high level tasks that are otherwise difficult to perform. We demonstrate the versatility of our framework on a large set of inputs of varying complexity, showing applications to image rearrangement, edit transfer, deformation propagation, and instance replacement. © 2010 ACM.
CitationCheng, M.-M., Zhang, F.-L., Mitra, N. J., Huang, X., & Hu, S.-M. (2010). RepFinder. ACM Transactions on Graphics, 29(4), 1–8. doi:10.1145/1778765.1778820
SponsorsWe thank all the reviewers for their helpful suggestions and Ralph Martin for his valuable comments. This work was supported by the National Basic Research Project of China (Project Number 2006CB303106), the National High Technology Research, the Development Program of China (Project Number 2009AA01Z330) and the Intel-MoE Joint Research Fund (MOE-INTEL-08-01). Niloy Mitra was partially funded by a Microsoft outstanding young faculty fellowship.
JournalACM Transactions on Graphics