Parametric Object Motion from Blur

Motion blur can adversely affect a number of vision tasks, hence it is generally considered a nuisance. We instead treat motion blur as a useful signal that allows to compute the motion of objects from a single image. Drawing on the success of joint segmentation and parametric motion models in the c...

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Bibliographic Details

Published in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 1846 - 1854
Main Authors:	Gast, Jochen, Sellent, Anita, Roth, Stefan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2016
Subjects:	Cameras Computer vision Estimation Image segmentation Kernel Motion segmentation Optical imaging
ISSN:	1063-6919
Online Access:	Get full text
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