• DocumentCode
    633926
  • Title

    Affine Invariant Ring Fourier Descriptors

  • Author

    San-San Li ; Yong-Dong Huang ; Jian-wei Yang

  • Author_Institution
    Fac. of Inf. & Comput. Sci., Beifang Univ. of Nat., Yinchuan, China
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    62
  • Lastpage
    66
  • Abstract
    The traditional affine-invariant Fourier descriptor is contour-based. It can not be applied to objects with several components. In this paper, a region-based Affine Invariant Ring Fourier Descriptor (AIRFD) is put forward to extract affine invariant features. A set of affine invariant closed curves is constructed from the object. Prior to the extraction of features, the derived closed curves are parameterized to establish a one-to-one correspondence between points on the original closed curves and points on the closed curves of their affine transformed version. Consequently, these closed curves are put on the image of the image, and pixels on these closed curves are derived. Finally, a Fourier transform is conducted on these pixel series. As a result, AIRFDs are derived. Experimental results show that the proposed method can be used for object classification.
  • Keywords
    Fourier transforms; feature extraction; image classification; AIRFD; Fourier transform; affine invariant feature descriptor; affine invariant ring Fourier descriptor; contour-based Fourier descriptor; feature extraction; object classification; pixel series; Abstracts; Ear; Affine transformation; Closed curves; Fourier transform; Ring Fourier descriptors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2013 International Conference on
  • Conference_Location
    Tianjin
  • ISSN
    2158-5695
  • Print_ISBN
    978-1-4799-0415-0
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2013.6599293
  • Filename
    6599293