• DocumentCode
    3017705
  • Title

    Multi-View Document Rectification using Boundary

  • Author

    Tsoi, Yau-Chat ; Brown, Michael S.

  • Author_Institution
    Nanyang Technol. Univ., Singapore
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We present a novel technique that uses multiple images of bound and folded documents to rectify the imaged content such that it appears flat and photometrically uniform. Our approach works from a sparse set of uncalibrated views of the document which are mapped to a canonical coordinate frame using the document´s boundary. A composite image is constructed from these canonical views that significantly reduces the effects of depth distortion without the blurring artifacts that is problematic in single image approaches. In addition, we propose a new technique to estimate illumination variation in the individual images allowing the final composited content to be photometrically rectified. Our approach is straight-forward, robust, and produces good results.
  • Keywords
    document image processing; image resolution; image restoration; photometry; canonical coordinate frame; documents boundary; illumination variation; multiple document images; multiview document rectification; uncalibrated document views; Cameras; Geometry; Histograms; Image restoration; Image sampling; Lighting; Optical character recognition software; Photometry; Robustness; Software libraries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383251
  • Filename
    4270276