• DocumentCode
    2814013
  • Title

    Depth Measurement and 3D Metric Reconstruction from Two Uncalibrated Stereo Images

  • Author

    Kuffar, Hendrika ; Takay, Kunio

  • Author_Institution
    Univ. of Saskatchewan, Saskatoon
  • fYear
    2007
  • fDate
    22-26 April 2007
  • Firstpage
    1460
  • Lastpage
    1463
  • Abstract
    This paper demonstrates the use of the epipolar geometry to estimate the depth (distance) to a point on the object structure in a pair of stereo images. The well established robust method of RANSAC was implemented to calculate the fundamental matrix. The paper discusses how to calculate the disparity, a parallax that exists in the stereo images. This paper is generally in the nature of following up the existing technology, but addresses the stability issue of the RANSAC fundamental matrix algorithm as a stepping stone for stable generation of the dense disparity maps useful for applications.
  • Keywords
    distance measurement; image reconstruction; stereo image processing; 3D metric reconstruction; RANSAC; depth measurement; epipolar geometry; fundamental matrix; uncalibrated stereo images; Cameras; Computational geometry; Drives; Electric variables measurement; Image reconstruction; Layout; Robot vision systems; Robustness; Stereo image processing; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    0840-7789
  • Print_ISBN
    1-4244-1020-7
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2007.365
  • Filename
    4233024