UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

RepFinder: Finding Approximately Repeated Scene Elements for Image Editing

Cheng, MM; Zhang, FL; Mitra, NJ; Huang, XL; Hu, SM; (2010) RepFinder: Finding Approximately Repeated Scene Elements for Image Editing. ACM T GRAPHIC , 29 (4) , Article 83. 10.1145/1778765.1778820.

Full text not available from this repository.

Abstract

Repeated 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.

Type:Article
Title:RepFinder: Finding Approximately Repeated Scene Elements for Image Editing
DOI:10.1145/1778765.1778820
Keywords:image editing, shape-aware manipulation, edit propagation, GRAPH CUTS, SEGMENTATION, COMPLETION, FEATURES
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

Archive Staff Only: edit this record