Authors:
Thiago Pereira
1
;
Renato Paes Leme
2
;
Luiz Velho
1
and
Thomas Lewiner
3
Affiliations:
1
Visgraf, IMPA, Brazil
;
2
Cornell, United States
;
3
Matmidia, PUC–Rio, Brazil
Keyword(s):
Image completion, Inpainting, Symmetry detection, Structural image processing.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Pattern Recognition
;
Software Engineering
;
Texture Models, Analysis, and Synthesis
Abstract:
Acquired images often present missing, degraded or occluded parts. Inpainting techniques try to infer lacking information, usually from valid information nearby. This work introduces a new method to complete missing parts from an image using structural information of the image. Since natural and human-made objects present several symmetries, the image structure is described in terms of axial symmetries, and extrapolating the symmetries of the valid parts completes the missing ones. In particular, this allows inferring both the edges and the textures.