• DocumentCode
    2597229
  • Title

    Camera-Based Document Image Mosaicing

  • Author

    Liang, Jian ; DeMenthon, Daniel ; Doermann, David

  • Author_Institution
    Inst. for Adv. Comput. Studies, Maryland Univ., College Park, MD
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    In this paper we present an image mosaicing method for camera-captured documents. Our method is unique in not restricting the camera position, thus allowing greater flexibility than scanner-based or fixed-camera-based approaches. To accommodate for the perspective distortions introduced by varying poses, we implement a two-step image registration process that relies on accurately computing the projectivity between any two document images with an overlapping area as small as 10%. In the overlapping area, we apply a sharpness based selection process to obtain seamless blending across the border and within. Experiments show that our approach can produce a very sharp, high resolution and accurate full page mosaic from small image patches of a document
  • Keywords
    document image processing; image registration; image segmentation; camera-based document image mosaicing; camera-captured document; image patches; image registration; Cameras; Digital images; Educational institutions; Hardware; Image registration; Image resolution; Laboratories; Mice; Robustness; Satellites;
  • 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.2006.352
  • Filename
    1699247