Symmetry-based photo-editing

Authors:
Kun Huang;Wei Hong;Yi Ma
Affiliations:
Department of Biomedical Informatics, Ohio State University, Room 3172A, Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA;Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1308 West Main Street, Urbana, IL 61801, USA;Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1308 West Main Street, Urbana, IL 61801, USA
Venue:
Pattern Recognition
Year:
2005

Citing 12
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Abstract

In this paper, we demonstrate how to edit digital photos based on the understanding of high-level geometric knowledge imposed upon objects in the photos. This is achieved by the correct recovery of the 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruction. Symmetry is proposed as the central notion that unifies both conceptually and algorithmically all types of geometric regularities such as parallelism, orthogonality, and similarity. The methods are extremely simple, accurate, easy to implement, and they demonstrate the utility of applying scene knowledge to image understanding and editing.