• DocumentCode
    2125290
  • Title

    View planning for verification using machine vision

  • Author

    Gerhardt, Lester A. ; Hyun, Kwangik

  • Author_Institution
    Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    217
  • Abstract
    Two different but related issues regarding view planning are: (a) how should the object be best viewed (i.e. orientation with respect to the sensor); (b) how many views are required to completely verify the object? The first step in the solution process is to determine the appropriate criteria for view planning. In the method presented here, surface area, number of surfaces and pixel resolution, have been selected as the criteria. From the inspection planning point of view, optimal view sequencing is needed to inspect a required object completely. Using two parameters (the grouped visible regions and the admissibility of the best viewpoint), a greedy heuristic search algorithm with a logarithmic ratio bound is applied to find a minimal view sequence
  • Keywords
    automatic optical inspection; computer vision; image sequences; automated inspection; heuristic search algorithm; logarithmic ratio bound; machine vision; object orientation; optical sensor; optimal view sequencing; pixel resolution; surface area; verification; view planning; Computer vision; Inspection; Machine vision; Manufacturing automation; Mechanical engineering; Process planning; Robotics and automation; Sensor phenomena and characterization; Sensor systems; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413856
  • Filename
    413856