• DocumentCode
    476236
  • Title

    Automatic computation of fundamental matrix together with interest points in correspondence between two images

  • Author

    Zhao, Jie ; Yang, Feng ; Liu, Wei-jing

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding
  • Volume
    5
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2805
  • Lastpage
    2809
  • Abstract
    The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras. As was known, the corresponding cameras matrix may then be determined, up to a projective ambiguity, from the computed F, so the following actions will be continued such as reconstruction and so on. In the paper, the method for computing F from a set of corresponding image points is described, and the scale-invariant features extracting is used for computing the interest points. Experimental results show that, the method described is very exactly.
  • Keywords
    feature extraction; geometry; matrix algebra; automatic computation; cameras matrix; feature extraction; fundamental matrix; Cameras; Cybernetics; Educational institutions; Geometry; Image analysis; Image reconstruction; Information analysis; Layout; Machine learning; Transmission line matrix methods; Epipolar Geometry; Feature detection; Fundamental Matrix; L-M Algorithm; RANSAC; Two-View Geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620885
  • Filename
    4620885