• DocumentCode
    456938
  • Title

    Depth Recovery from Motion Blurred Images

  • Author

    Lin, Huei-Yung ; Chang, Chia-Hong

  • Author_Institution
    Dept. of Electr. Eng., National Chung Cheng Univ., Chia-Yi
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    This paper presents a novel method to obtain the depth information from motion blurred images. Under the assumption of uniform linear motion between the camera and the scene during finite exposure time, both the pinhole model and the camera with a finite aperture are considered. It is shown that the image blur produced by lateral motion of the camera is inversely proportional to the distance of the object. Furthermore, if the speed of the relative motion is known, the depth of the object can be acquired by identifying the blur parameters. An image blur model for uniform linear motion is formulated based on geometric optics. The proposed method has been verified experimentally using edge images
  • Keywords
    computer vision; geometrical optics; image motion analysis; image restoration; camera lateral motion; depth information; depth recovery; finite aperture; geometric optics; image blur model; motion blurred images; object depth; pinhole model; uniform linear motion; Apertures; Cameras; Focusing; Geometrical optics; Layout; Lenses; Optical imaging; Optical variables control; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.429
  • Filename
    1698851