• DocumentCode
    178524
  • Title

    A computing method of double linear correlation for mirror image matching

  • Author

    Ito, Izumi

  • Author_Institution
    Decision Sci. & Technol, Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    2818
  • Lastpage
    2822
  • Abstract
    A computing method of double linear correlation is proposed in order to estimate the location in which the part of an image matches another image even if one of the images is mirrored across the vertical, horizontal, or both axes. 1-D double linear correlation (DLC) is extended to 2-D DLC. The reduction of the number of zero-padding is considered. The computational complexity of the proposed method is lower than that of an FFT approach by more than 50% the number of operations on real numbers.
  • Keywords
    fast Fourier transforms; image matching; FFT approach; computing method; double linear correlation; mirror image matching; zero-padding; Computational complexity; Convolution; Correlation; Discrete cosine transforms; Image matching; Indium tin oxide; Mirrors; Discrete cosine transform; image matching; linear correlation; mirror image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854114
  • Filename
    6854114