• DocumentCode
    1507715
  • Title

    Recovering surface normal of specular object by Hough transform method

  • Author

    Liu, Richard ; Han, Jinguang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • Volume
    4
  • Issue
    2
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    129
  • Lastpage
    137
  • Abstract
    In order to recover surface normal and albedo of specular objects under the condition of large shadows and highlights by photometric stereo, a novel robust method utilising Hough transform is proposed. The photometric image sequence is taken by a fixed camera when the light source is rotated around the optical axis of the camera. Since the bidirectional reflectance distribution function of many surfaces can be approximated as a combination of a diffuse component and a specular component, the diffuse part of the intensity at a fixed point on the surface obeys a sine curve when the light source rotates. The surface normal and albedo information are hidden in the sine curve and can be revealed by means of Hough transform. The bilateral symmetry of the sine curve is used to narrow the searching range of the initial phase and to speed up the Hough transform. Experiments performed on synthetic and real objects with large shadows and strong specular reflectance show the better performance of the proposed method.
  • Keywords
    Hough transforms; image sequences; stereo image processing; Hough transform method; bidirectional reflectance distribution function; photometric image sequence; photometric stereo; sine curve; specular object; surface normal recovering;
  • fLanguage
    English
  • Journal_Title
    Computer Vision, IET
  • Publisher
    iet
  • ISSN
    1751-9632
  • Type

    jour

  • Filename
    5475473