Parametric Object Motion from Blur

• 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

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...