Symmetry-based photo editing

Author

Huang, Kun ; Hong, Wei ; Ma, Yi

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

fYear

2003

fDate

17-17 Oct. 2003

Firstpage

21

Lastpage

28

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/HLK.2003.1240855

Filename

1240855