• DocumentCode
    2050541
  • Title

    Robust scene reconstruction from lines and points in three uncalibrated color images

  • Author

    Sham, Alfred H K ; Wong, Andrew K.C.

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    557
  • Abstract
    A new robust scene-reconstruction algorithm using points and lines in three uncalibrated color images is introduced. The algorithm is robust because it discards outliers at the same time as it estimates the geometric constraints. The algorithm consists of three components: a point-tracking algorithm for color images; a line-matching algorithm for color images and a robust algorithm for computing the trifocal tensor (also called the trilinear tensor). These three components are carried out iteratively within the scene-reconstruction algorithm until no significant improvement can be achieved. Cameras are assumed uncalibrated and camera poses are assumed unknown
  • Keywords
    image colour analysis; image reconstruction; stereo image processing; color image line-matching algorithm; color image point-tracking algorithm; geometric constraints; robust algorithm; robust scene reconstruction; scene-reconstruction algorithm; trifocal tensor; trilinear tensor; uncalibrated color images; Cameras; Color; Computer vision; Geometry; Image reconstruction; Iterative algorithms; Karhunen-Loeve transforms; Layout; Robustness; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-6612-3
  • Type

    conf

  • DOI
    10.1109/IROS.2001.973415
  • Filename
    973415