• DocumentCode
    300152
  • Title

    An illumination planner for Lambertian polyhedral objects

  • Author

    Solomon, Fredric ; Ikeuchi, Katsushi

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    21-27 May 1995
  • Firstpage
    1719
  • Abstract
    The measurement of shape is a basic object inspection task. We use a noncontact method to determine shape called photometric stereo. The method uses three light sources which sequentially illuminate the object under inspection and a video camera for taking intensity images of the object. A significant problem with using photometric stereo is determining where to place the 3 light sources and the video camera. In order to solve this problem, we have developed an illumination planner that determines how to position the three light sources and the video camera around the object. The planner determines how to position light sources around an object so that we illuminate a specified set of faces in an efficient manner and so that we obtain an accurate measurement. From a high level, our planner has three major inputs: the CAD model of the object to be inspected, a noise model for our sensor, and a reflectance model for the object to be inspected. We have experimentally verified that the plans generated by the planner are valid and accurate
  • Keywords
    automatic optical inspection; computer vision; shape measurement; CAD model; illumination planner; lambertian polyhedral objects; light source positioning; noise model; noncontact method; object inspection; photometric stereo; sequential illumination; shape measurement; video camera; Cameras; Geometry; Inspection; Light sources; Lighting; Noise shaping; Photometry; Position measurement; Shape measurement; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
  • Conference_Location
    Nagoya
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-1965-6
  • Type

    conf

  • DOI
    10.1109/ROBOT.1995.526016
  • Filename
    526016