• DocumentCode
    2688391
  • Title

    Signfinder: using color to detect, localize and identify informational signs

  • Author

    Yuille, A.L. ; Snow, D. ; Nitzberg, M.

  • Author_Institution
    Smith-Kettlewell Eye Res. Inst., San Francisco, CA, USA
  • fYear
    1998
  • fDate
    4-7 Jan 1998
  • Firstpage
    628
  • Lastpage
    633
  • Abstract
    We describe an approach to detecting, locating and normalizing road signs. The approach will apply provided: (i) the signs have stereotypical boundary shapes (i.e. rectangular, or hexagonal-of course, we allow for these shapes to be distorted by projection to unknown viewpoint), (ii) the writing on the sign has one uniform color and the rest of the sign has a second uniform color (we allow for the color of the illuminant to be unknown). We show that the approach works even under significant illuminant color changes, viewpoint direction, shadowing, and occlusion. This work is part of a project intended to help people who are blind, or whose sight is impaired
  • Keywords
    computer vision; stereo image processing; occlusion; road signs; shadowing; stereotypical boundary shapes; viewpoint direction; Image databases; Image edge detection; Layout; Prototypes; Roads; Shadow mapping; Shape; Snow; Testing; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1998. Sixth International Conference on
  • Conference_Location
    Bombay
  • Print_ISBN
    81-7319-221-9
  • Type

    conf

  • DOI
    10.1109/ICCV.1998.710783
  • Filename
    710783