• DocumentCode
    79236
  • Title

    Contour matching using the affine-invariant support point set

  • Author

    Wei Wang ; Yongmei Jiang ; Boli Xiong ; Lingjun Zhao ; Gangyao Kuang

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    8
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    35
  • Lastpage
    44
  • Abstract
    Moment has been widely used for contour matching. To use the moment to achieve contour matching under affine transformations, the affine-invariant support point set (SPS) should be constructed first. Then, a novel method of acquiring SPS based on the contour projection (SPS-CP) is proposed here. For an arbitrary selected contour point, the contour is projected onto the line vertical to the vector connecting the contour centroid and the selected point, and the contour points with the sampled projection values are picked up to form the SPS-CP of the point. SPS-CP which captures the global structure of the contour is stably affine-invariant. Experiments on synthetic and real data demonstrate that moments generated from SPS-CP outperform those generated from SPSs sampled by uniform spacing or affine length.
  • Keywords
    affine transforms; image matching; SPS-CP; affine length; affine transformations; affine-invariant support point set; contour centroid; contour global structure; contour matching; contour projection; image matching;
  • fLanguage
    English
  • Journal_Title
    Computer Vision, IET
  • Publisher
    iet
  • ISSN
    1751-9632
  • Type

    jour

  • DOI
    10.1049/iet-cvi.2013.0031
  • Filename
    6725837