• DocumentCode
    2676738
  • Title

    Hybrid ICA with wavelet for describing local regions

  • Author

    Zhu, Lili ; Yuan, Hua

  • Author_Institution
    Sch. of Inf. Media Eng., Changchun Univ. of Technol., Changchun, China
  • Volume
    6
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    307
  • Lastpage
    310
  • Abstract
    In this paper present a local regions descriptors representation method based on independent components analysis (ICA) and wavelet transform. We reduce the feature dimensions using ICA. The proposed algorithm first finds the characteristic scale and the location for the interest points. And then wavelet transform is performed on the neighborhood of the local regions and get low frequency gradient feature. The experiments show that our method is more accurate and fast than some standard method.
  • Keywords
    gradient methods; independent component analysis; wavelet transforms; hybrid ICA; independent components analysis; local regions descriptors representation method; low frequency gradient feature; wavelet transform; Detectors; Feature descriptors; Matching; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5609850
  • Filename
    5609850