DocumentCode
3424094
Title
Forward Motion Deblurring
Author
Shicheng Zheng ; Li Xu ; Jiaya Jia
Author_Institution
Chinese Univ. of Hong Kong, Hong Kong, China
fYear
2013
fDate
1-8 Dec. 2013
Firstpage
1465
Lastpage
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-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.
Keywords
geometry; image restoration; optimisation; 3D planes; bike-mounted cameras; car cameras; depth variation; forward motion deblurring; geometric models; homographies; optimization framework; traffic cameras; Cameras; Deconvolution; Image restoration; Kernel; Optimization; Three-dimensional displays; Vectors; Deblurring; Forward Motion; Homography; Normal;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision (ICCV), 2013 IEEE International Conference on
Conference_Location
Sydney, VIC
ISSN
1550-5499
Type
conf
DOI
10.1109/ICCV.2013.185
Filename
6751292
Link To Document