• DocumentCode
    2589801
  • Title

    Geometric and photometric restoration of distorted documents

  • Author

    Sun, Mingxuan ; Yang, Ruigang ; Yun, Lin ; Landon, George ; Seales, Brent ; Brown, Michael S.

  • Author_Institution
    Dept. of Comput. Sci., Kentucky Univ., Lexington, KY
  • Volume
    2
  • fYear
    2005
  • fDate
    17-21 Oct. 2005
  • Firstpage
    1117
  • Abstract
    We present a system to restore the 2D content printed on distorted documents. Our system works by acquiring a 3D scan of the document´s surface together with a high-resolution image. Using the 3D surface information and the 2D image, we can ameliorate unwanted surface distortion and effects from non-uniform illumination. Our system can process arbitrary geometric distortions, not requiring any pre-assumed parametric models for the document´s geometry. The illumination correction uses the 3D shape to distinguish content edges from illumination edges to recover the 2D content´s reflectance image while making no assumptions about light sources and their positions. Results are shown for real objects, demonstrating a complete framework capable of restoring geometric and photometric artifacts on distorted documents
  • Keywords
    computational geometry; document image processing; image restoration; photometry; 2D content reflectance image; 3D scan; 3D shape; 3D surface information; arbitrary geometric distortion; distorted document; document geometry; geometric restoration; high-resolution image; illumination correction; photometric restoration; surface distortion; Computer science; Geometry; Image restoration; Light sources; Lighting; Parametric statistics; Photometry; Reflectivity; Shape; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1550-5499
  • Print_ISBN
    0-7695-2334-X
  • Type

    conf

  • DOI
    10.1109/ICCV.2005.106
  • Filename
    1544846