• 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