Title
Content-Aware Rotation
Abstract
We present an image editing tool called Content-Aware Rotation. Casually shot photos can appear tilted, and are often corrected by rotation and cropping. This trivial solution may remove desired content and hurt image integrity. Instead of doing rigid rotation, we propose a warping method that creates the perception of rotation and avoids cropping. Human vision studies suggest that the perception of rotation is mainly due to horizontal/vertical lines. We design an optimization-based method that preserves the rotation of horizontal/vertical lines, maintains the completeness of the image content, and reduces the warping distortion. An efficient algorithm is developed to address the challenging optimization. We demonstrate our content-aware rotation method on a variety of practical cases.
Year
DOI
Venue
2013
10.1109/ICCV.2013.74
ICCV
Keywords
Field
DocType
optimisation,image content,content-aware rotation method,rigid rotation,image integrity,human vision studies,warping distortion,horizontal-vertical lines,optimization-based method,cropping,vertical line,image editing tool,image reconstruction,content-aware rotation,warping method,casually shot photos
Iterative reconstruction,Computer vision,Image warping,Pattern recognition,Computer science,Cropping,Image content,Image editing,Artificial intelligence,Distortion,Perception,Completeness (statistics)
Conference
ISSN
Citations 
PageRank 
1550-5499
2
0.36
References 
Authors
17
3
Name
Order
Citations
PageRank
Kaiming He121469696.72
Huiwen Chang2264.73
Jian Sun325842956.90