• DocumentCode
    1934380
  • Title

    Motion stereo vision using a line structural expression of images

  • Author

    Fukunaga, K. ; Asano, T. ; Murata, H. ; Nishimura, T. ; Izumi, M.

  • Author_Institution
    Osaka Prefectural Univ., Japan
  • fYear
    1990
  • fDate
    21-23 Mar 1990
  • Firstpage
    478
  • Lastpage
    485
  • Abstract
    A robot vision based on motion stereo vision is presented. The approach uses a method of image registration that uses matching between the two node structures, which are represented by the arcs linked to them in the graphical expression of edge line images. It is necessary, but difficult, to establish matching between feature points in a pair of motion stereo images when a vision system, such as robot vision, extracts three-dimensional positions and shapes of objects. Since the authors´ approach is based on the algebraic expression of the image graph, it is insensitive to scaling, rotation, gray level modification, and small motion between the two images. The matching process makes use of a degree of structural similarity among nodes. The experimental result confirms the reliable matching between a pair of motion stereo images and the applicability of the approach to 3-D robot vision
  • Keywords
    computer vision; robots; 3-D robot vision; edge line images; feature points; gray level modification; image graph; image registration; line structural expression; motion stereo vision; node structures; rotation; scaling; structural similarity; three-dimensional positions; Educational institutions; Image converters; Image edge detection; Image registration; Image segmentation; Pixel; Robot vision systems; Shape; Stereo vision; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 1990. Conference Proceedings., Ninth Annual International Phoenix Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    0-8186-2030-7
  • Type

    conf

  • DOI
    10.1109/PCCC.1990.101659
  • Filename
    101659