• DocumentCode
    1862098
  • Title

    Edge-based placement of camera and light source for object recognition and location

  • Author

    Cowan, Cregg K. ; Modayur, Bharath

  • Author_Institution
    SRI Int., Menlo Park, CA, USA
  • fYear
    1993
  • fDate
    2-6 May 1993
  • Firstpage
    586
  • Abstract
    The selection and placement of cameras and light sources for a vision task is an essential step in both autonomous visual sensing and standard industrial applications. A technique is presented that determines the three-dimensional region of light-source locations such that one or more specified object edges will be detected with a given edge operator. The method uses a task description that includes a list of object edges and the edge operator to be used in order to derive constraints on image contrast, surface irradiance, and light-source location. The combination of this method with prior results on camera and light-source placement can be applied to object recognition and location tasks
  • Keywords
    computer vision; edge detection; image recognition; autonomous visual sensing; cameras; edge operator; image contrast; light sources; specified object edges; standard industrial applications; surface irradiance; vision task; Cameras; Focusing; Image edge detection; Light sources; Lighting; Machine vision; Object recognition; Robot vision systems; Robotics and automation; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-8186-3450-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1993.291895
  • Filename
    291895