• DocumentCode
    3598549
  • Title

    A robust method for estimating the fundamental matrix

  • Author

    Junqing, Shen ; Mingxing, Hu ; Baozong, Yuan

  • Author_Institution
    Instn. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
  • Volume
    1
  • fYear
    2002
  • Firstpage
    892
  • Abstract
    We present a novel method for estimating the fundamental matrix, a key problem arising in stereovision. The method aims to minimize a cost function that is derived from maximum likelihood considerations. The minimizer turns out. to be significantly more robust than that of the linear method of eight points.
  • Keywords
    computer vision; geometry; matrix algebra; maximum likelihood estimation; minimisation; stereo image processing; computer vision; cost function minimization; epipolar geometry; fundamental matrix estimation; maximum likelihood considerations; stereovision; Cameras; Computational geometry; Computer vision; Cost function; Equations; Information geometry; Information science; Layout; Maximum likelihood estimation; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2002 6th International Conference on
  • Print_ISBN
    0-7803-7488-6
  • Type

    conf

  • DOI
    10.1109/ICOSP.2002.1181200
  • Filename
    1181200
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3598549