• DocumentCode
    3017752
  • Title

    Towards Automatic Photometric Correction of Casually Illuminated Documents

  • Author

    Landon, George V. ; Lin, Yun ; Seales, W. Brent

  • Author_Institution
    Univ. of Kentucky, Lexington
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Creating uniform lighting for archival-quality document acquisition remains a non-trivial problem. We propose a novel method for automatic photometric correction of non-planar documents by estimating a single, point light-source using a simple light probe. By adding a simple piece of folded white paper with a known 3D surface to a scene, we are able to extract the 3D position of a light source, automatically perform white balance correction, and determine areas of poor illumination. Furthermore, this method is designed with the purpose of adding it to an already implemented document digitization pipeline. To justify our claims, we provide an accuracy analysis of our correction technique using simulated ground-truth data which allows individual sources of error to be determined and compared. These techniques are then applied on real documents that have been acquired using a 3D scanner.
  • Keywords
    document image processing; feature extraction; photometry; 3D position extraction; archival-quality document acquisition; automatic photometric correction; casually illuminated documents; document digitization pipeline; light source; Cameras; Image restoration; Layout; Light sources; Lighting; Optical attenuators; Photometry; Probes; Reflectivity; Shape;
  • 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.2007.383254
  • Filename
    4270279