Forward Motion Deblurring

Shicheng Zheng, Li Xu, Jiaya Jia; The IEEE International Conference on Computer Vision (ICCV), 2013, pp. 1465-1472

Abstract


We handle a special type of motion blur considering that cameras move primarily forward or backward. Solving this type of blur is of unique practical importance since nearly all car, traffic and bike-mounted cameras follow out-ofplane translational motion. We start with the study of geometric models and analyze the difficulty of existing methods to deal with them. We also propose a solution accounting for depth variation. Homographies associated with different 3D planes are considered and solved for in an optimization framework. Our method is verified on several natural image examples that cannot be satisfyingly dealt with by previous methods.

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[bibtex]
@InProceedings{Zheng_2013_ICCV,
author = {Zheng, Shicheng and Xu, Li and Jia, Jiaya},
title = {Forward Motion Deblurring},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}