• DocumentCode
    149191
  • Title

    Multiscale keypoint analysis with triangular biorthogonal wavelets via redundant lifting

  • Author

    Fujinoki, Kensuke

  • Author_Institution
    Dept. of Math. Sci., Tokai Univ., Hiratsuka, Japan
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    1677
  • Lastpage
    1680
  • Abstract
    This paper presents an efficient approach for multiscale keypoint detection based on triangular biorthogonal wavelets. The detection scheme is simple and thus fast as only three isotropic directional components of an image obtained by multiscale decomposition with the triangular biorthogonal wavelets are used for keypoint localization at each scale. Redundant lifting is also considered and can be applied directly to calculate cumulative local energy distribution that is derived from the correction of the three directional components at each scale. This gives the efficient and accurate localization of keypoints including scale information. An experimental result shows that our method is better in the sense of the uniform distribution of keypoints compared with the conventional wavelet-based approach.
  • Keywords
    discrete wavelet transforms; image processing; cumulative local energy distribution; isotropic directional components; multiscale decomposition; multiscale keypoint analysis; redundant lifting; triangular biorthogonal wavelets; uniform distribution; Discrete wavelet transforms; Feature extraction; Image edge detection; Lattices; Signal resolution; Keypoint; discrete wavelet transform; lifting; redundant transform; triangular lattice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952615