• DocumentCode
    2472767
  • Title

    Shape and reflectance from an image sequence generated using extended sources

  • Author

    Nayar, Shree K. ; Ikeuchi, Katsushi ; Kanade, Takeo

  • Author_Institution
    Robotics Inst., Carnegie-Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1989
  • fDate
    14-19 May 1989
  • Firstpage
    28
  • Abstract
    The authors present a method for determining the shapes of surfaces whose reflectance properties may vary from Lambertian to specular, without prior knowledge of the relative strengths of the Lambertian and specular components of reflection. The object surface is illuminated using extended light sources and is viewed from a single direction. Surface illumination using extended sources makes it possible to ensure the detection of both Lambertian and specular reflections. Multiple source directions are used to obtain an image sequence of the object. An extraction algorithm uses the set of image intensity values measured at each surface point to compute orientation as well as relative strengths of the Lambertian and specular reflection components. The proposed method is called photometric sampling, as it uses samples of photometric function that relates image intensity to surface orientation, reflectance, and light source characteristics. Experiments were conducted on Lambertian surfaces, specular surfaces, and hybrid surfaces, whose reflectance models are composed of both Lambertian and specular components. The results show high accuracy in measured orientations and estimated reflectance parameters
  • Keywords
    computer vision; photometry; reflectivity; Lambertian; computer vision; extended light sources; extraction algorithm; hybrid surfaces; image intensity values; image sequence; orientation; photometric sampling; reflectance; specular; Image generation; Image sampling; Image sequences; Light sources; Lighting; Optical reflection; Parameter estimation; Photometry; Reflectivity; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1989. Proceedings., 1989 IEEE International Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    0-8186-1938-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.1989.99963
  • Filename
    99963