Title :
Symmetry-based photo editing
Author :
Huang, Kun ; Hong, Wei ; Ma, Yi
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
Based on high-level geometric knowledge, especially symmetry, imposed upon objects in images, we demonstrate how to edit images in terms of correct 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruction. Symmetry is proposed as the central notation that unifies both conceptually and algorithmically all types of geometric regularities such as parallelism, orthogonality, and similarity. The methods are extremely simple, accurate and easy to implement, and they demonstrate the power of applying scene knowledge.
Keywords :
computational geometry; computer vision; image matching; image reconstruction; image registration; image segmentation; 3D reconstruction; 3D scene recovery; 3D shape; geometric orthogonality; geometric regularities; high-level knowledge; image editing; scene understanding; symmetrical structure; symmetry-based photo editing; vision understanding; Cameras; Computer vision; Geometry; Image reconstruction; Image segmentation; Layout; Motion analysis; Parallel processing; Shape; Three dimensional displays;
Conference_Titel :
Higher-Level Knowledge in 3D Modeling and Motion Analysis, 2003. HLK 2003. First IEEE International Workshop on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-2049-9
DOI :
10.1109/HLK.2003.1240855