• DocumentCode
    2073846
  • Title

    Panoramic Scanned Page Using Mobile Phone Camera

  • Author

    Rao, Naveed I. ; Di, Huijun ; Xu, Guangyou

  • Author_Institution
    Tsinghua Univ., Beijing
  • fYear
    2007
  • fDate
    27-30 June 2007
  • Firstpage
    352
  • Lastpage
    355
  • Abstract
    Today, almost all mobile phones introduced in market are equipped with built in cameras and in this work, we have proposed a new application by using this camera. A scanned image of a large document is achieved by completely traversing this camera on it. All successive frames are joined seamlessly to generate a panoramic image of the page. It is a difficult task due to, lateral movements of camera along with hand shaking, change in illumination due to hand shadow etc. Matter is further complexed by the fact that text alphabets does not possess distinct features which is a key requirement for panoramic image generation. A framework is designed for coarse to refine alignment of images based on the background modeling approach. Foreground segmentation and correspondence estimation are expressed as a unified labeling problem, and are solved efficiently via tree dynamic programming (TDP). Experiments proved our algorithm to be robust in performance.
  • Keywords
    cameras; dynamic programming; image scanners; image segmentation; mobile handsets; trees (mathematics); TDP; background modeling approach; correspondence estimation; foreground segmentation; image generation; mobile phone camera; panoramic scanned page; tree dynamic programming; unified labeling problem; Cameras; Image generation; Image segmentation; Labeling; Lighting; Mobile handsets; Optical distortion; Optical noise; Pervasive computing; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
  • Conference_Location
    Maribor
  • Print_ISBN
    978-961-248-029-5
  • Electronic_ISBN
    978-961-248-029-5
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2007.4381114
  • Filename
    4381114