Title :
Forward Motion Deblurring
Author :
Shicheng Zheng ; Li Xu ; Jiaya Jia
Author_Institution :
Chinese Univ. of Hong Kong, Hong Kong, China
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;
Conference_Titel :
Computer Vision (ICCV), 2013 IEEE International Conference on
Conference_Location :
Sydney, VIC
DOI :
10.1109/ICCV.2013.185