• DocumentCode
    3598882
  • Title

    An Algorithm for Estimating Fundamental Matrix Based on Removing the Exceptional Points

  • Author

    Rui, Liu ; Feng, Wang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
  • Volume
    1
  • fYear
    2009
  • Firstpage
    88
  • Lastpage
    90
  • Abstract
    In this paper, an algorithm for estimating fundamental matrix based on removing the exceptional points is proposed. It uses normalized 8-point algorithm to estimate the initial value of the fundamental matrix, and then refines it by eliminating the exceptional points. Furthermore, the genetic algorithm (GA) is used to optimize the initial fundamental matrix by minimizing the Sampson error. Experiment results show that our algorithm is quite correct and reasonable for estimating the fundamental matrix.
  • Keywords
    genetic algorithms; stereo image processing; visual perception; exceptional points removal; fundamental matrix estimation; genetic algorithm; Computational intelligence; Educational institutions; Equations; Genetics; Geometry; Image reconstruction; Iterative algorithms; Iterative methods; Least squares approximation; Robustness; Genetic Algorithm (GA); Sampson error; exceptional point; fundamental matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.66
  • Filename
    5231444
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3598882