• DocumentCode
    3201327
  • Title

    A Robust Corner Matching Technique

  • Author

    Awrangjeb, Mohammad ; Lu, Guojun

  • Author_Institution
    Monash Univ., Churchill
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    1483
  • Lastpage
    1486
  • Abstract
    In contour-based comer detectors, absolute curvature values of many corners either remain unaltered or change slightly under affine transformations. Moreover, affine-length of a curve is relatively invariant to affine transformations. This paper presents a novel corner matching technique using corners detected by contour-based detectors. For each corner we use its position, absolute curvature value, and affine-lengths between this corner and other corners on the same curve. The iterative matching procedure tries to find three corner matches with minimum absolute curvature difference to calculate affine transformation parameters. Original corners are transformed with the estimated parameters prior to matching with the test corner set.
  • Keywords
    affine transforms; edge detection; image matching; absolute curvature value; affine transformation parameters; affine-lengths; contour-based corner detectors; iterative matching procedure; robust corner matching technique; Australia; Computer vision; Cost function; Detectors; Image coding; Information technology; NP-complete problem; Noise robustness; Parameter estimation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2007 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-1016-9
  • Electronic_ISBN
    1-4244-1017-7
  • Type

    conf

  • DOI
    10.1109/ICME.2007.4284942
  • Filename
    4284942