• DocumentCode
    1263045
  • Title

    Determining shape and reflectance of hybrid surfaces by photometric sampling

  • Author

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

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    6
  • Issue
    4
  • fYear
    1990
  • fDate
    8/1/1990 12:00:00 AM
  • Firstpage
    418
  • Lastpage
    431
  • Abstract
    A method is presented for determining the shapes of hybrid surfaces 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. Uniformly distributed source directions are used to obtain an image sequence of the object. This method of obtaining photometric measurements is called photometric sampling. 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 simultaneous recovery of shape and reflectance parameters enables the method to adapt to variations in reflectance properties from one scene point to another. Experiments were conducted on Lambertian surfaces, specular surfaces, and hybrid surfaces
  • Keywords
    computerised pattern recognition; computerised picture processing; optical information processing; parameter estimation; Lambertian surfaces; extraction algorithm; hybrid surfaces; image sequence; photometric sampling; reflectance; shape determination; specular reflection; Acoustic reflection; Machine vision; Optical reflection; Photometry; Reflectivity; Robots; Rough surfaces; Sampling methods; Shape; Surface roughness;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.59367
  • Filename
    59367