• DocumentCode
    2476467
  • Title

    Exact integral images at generic angles for 2D barcode detection

  • Author

    Chin, Tat-Jun ; Goh, Hanlin ; Tan, Ngan-Meng

  • Author_Institution
    Comput. Vision & Image Understanding Dept., Inst. for Infocomm Res., Singapore, Singapore
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Using integral images for fast computation of sums of rectangular areas is very popular in computer vision. However the method does not extend naturally to rotations at arbitrary angles. We propose a novel solution to elegantly compute integral images at generic angles. Our method is exact in the sense that no approximations are used to derive it and it is vulnerable only to the unavoidable aliasing effects of discretization. Detailed experiments show that our method is more accurate than previously proposed ideas. We also demonstrate its usefulness by detecting 2D barcodes embedded in images.
  • Keywords
    bar codes; computational geometry; computer vision; object detection; 2D barcode detection; computer vision; generic angle; integral image; object detection; rectangular shape rotation; Computer vision; Embedded computing; Image edge detection; Object detection; Pixel; Rendering (computer graphics);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761169
  • Filename
    4761169