Symmetry-based photo-editing
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. (c) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
photo-editing image understanding high-level knowledge structure from symmetry 3-d scene recovery