• DocumentCode
    304724
  • Title

    Vanishing point matching

  • Author

    Leung, John C H ; NcLean, G.F.

  • Author_Institution
    Dept. of Mech. Eng., Victoria Univ., BC, Canada
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    305
  • Abstract
    Most vanishing point detection algorithms an based on the concept of clustering line intersections based on the density of line intersections in a local region. These methods are incapable of discriminating between true vanishing points and points which naturally arise as the mutual intersection of many lines in the image. We present a method of discriminating between non-vanishing points and vanishing points based on the identification of invariant properties of vanishing points in multiple images of a scene. Relaxation labelling is used to match the vanishing points of two images of a scene. The method is described and experimental results are provided which illustrate the successful performance of the algorithm
  • Keywords
    edge detection; image segmentation; algorithm performance; experimental results; image lines intersection; image matching; image regions; invariant properties identification; line intersections clustering; line intersections density; multiple images; mutual line intersection; nonvanishing points; relaxation labelling; vanishing point detection algorithms; vanishing point matching; Calibration; Cameras; Detection algorithms; Displays; Image analysis; Labeling; Laboratories; Layout; Mechanical engineering; Mechanical variables measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560817
  • Filename
    560817