Title
Inferring Plane Orientation from a Single Motion Blurred Image
Abstract
We present a scheme for recovering the orientation of a planar scene from a single translation ally-motion blurred image. By leveraging the homography relationship among image coordinates of 3D points lying on a plane, and by exploiting natural correspondences among the extremities of the blur kernels derived from the motion blurred observation, the proposed method can accurately infer the normal of the planar surface. We validate our approach on synthetic as well as real planar scenes.
Year
DOI
Venue
2014
10.1109/ICPR.2014.364
Pattern Recognition
Keywords
DocType
ISSN
image motion analysis,3D points,blur kernels,homography relationship,image coordinates,plane orientation,real planar scenes,single translation ally-motion blurred image,synthetic planar scenes
Conference
1051-4651
Citations 
PageRank 
References 
1
0.35
16
Authors
3
Name
Order
Citations
PageRank
Makkena Purnachandra Rao110.35
A. N. Rajagopalan2110692.02
Guna Seetharaman358444.59