• DocumentCode
    2837420
  • Title

    LSIFT—An improved SIFT algorithm with a new matching method

  • Author

    Lingjun Li ; Xiang Long

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    In terms of the high frequency of mis-match of SIFT method under the strong disturb and complex background, this paper proposes a new matching method based on comparing modulus. According to this method, the eigenvector limit is required at first before the normalization processing, and then, accurate matching pairs between two pictures can be found according to the difference between the modulus of the relative matching pair and that of the most similar one. The result of simulation indicates that the new matching method is of high stability and its matching time is much shorter.
  • Keywords
    eigenvalues and eigenfunctions; feature extraction; image matching; transforms; LSIFT algorithm; comparing modulus; eigenvector; image matching; normalization processing; Robustness; SIFT Algorithm; Scale space; comparing modulus; feature vector; key-points matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620607
  • Filename
    5620607