• DocumentCode
    3203955
  • Title

    Highlight separation and surface orientations for 3-D specular objects

  • Author

    Park, Jong-Seok ; Tou, Julius T.

  • Author_Institution
    Center for Inf. Res., Florida Univ., Gainesville, FL, USA
  • Volume
    i
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    331
  • Abstract
    The authors present a normal vector equalization method for separating probable highlights and obtaining surface orientations of 3-D specular objects. Based on the simplified Torrance-Sparrow model of specular reflection and the empirical Lambertian reflection model, this method uses a set of three monochromatic images taken from three different illumination directions, separates probable highlights from those images, and generates a set of three Lambertian (highlight-free) images and a set of three specular (highlight-only) images. Surface orientations are obtained using the Lambertian images by solving an imaging equation for a Lambertian surface. Computer simulations and experiments with real objects have been performed. The theoretical framework for measuring surface parameters which represent optical characteristics of the surface is also discussed
  • Keywords
    light reflection; pattern recognition; picture processing; vectors; 3-D specular objects; Lambertian images; Lambertian surface; empirical Lambertian reflection model; highlight separation; monochromatic images; normal vector equalization method; simplified Torrance-Sparrow model; specular reflection; surface orientations; Detectors; Dielectric materials; Electronics industry; Image edge detection; Image generation; Machine vision; Optical imaging; Optical reflection; Shape; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.118125
  • Filename
    118125