• DocumentCode
    3210232
  • Title

    Color lines: image specific color representation

  • Author

    Omer, Ido ; Werman, Michael

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Hebrew Univ., Jerusalem, Israel
  • Volume
    2
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    The problem of deciding whether two pixels in an image have the same real world color is a fundamental problem in computer vision. Many color spaces are used in different applications for discriminating color from intensity to create an informative representation of color. The major drawback of all of these representations is that they assume no color distortion. In practice the colors of real world images are distorted both in the scene itself and in the image capturing process. In this work we introduce color lines, an image specific color representation that is robust to color distortion and provides a compact and useful representation of the colors in a scene.
  • Keywords
    computer vision; distortion; image colour analysis; color lines; color spaces; computer vision; image capturing process; image specific color representation; no color distortion; real world color; Application software; Color; Colored noise; Computer science; Computer vision; Histograms; Layout; Lighting; Pixel; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315267
  • Filename
    1315267