Forward Motion Deblurring
Refereed conference paper presented and published in conference proceedings


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AbstractWe 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-of-plane 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.
All Author(s) ListZheng SC, Xu L, Jia JY
Name of ConferenceIEEE International Conference on Computer Vision (ICCV)
Start Date of Conference01/12/2013
End Date of Conference08/12/2013
Place of ConferenceSydney
Country/Region of ConferenceAustralia
Detailed descriptionIEEE
Year2013
Month1
Day1
PublisherIEEE
Pages1465 - 1472
eISBN978-1-4799-2839-2
ISSN1550-5499
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence

Last updated on 2020-22-10 at 00:27