• DocumentCode
    2176760
  • Title

    A non-parametric area-based method to identify matched pixels

  • Author

    Kouzani, A.Z. ; Ong, S.H.

  • Author_Institution
    Sch. of Eng. & Technol., Deakin Univ., Geelong, Vic., Australia
  • Volume
    2
  • fYear
    2002
  • fDate
    2-5 Dec. 2002
  • Firstpage
    692
  • Abstract
    In image matching no guarantee can be given that a solution exists, is unique, and is stable. This paper presents a method which utilises knowledge about the object present in two images to establish correspondence between the two images. In addition, the method uses the relative ordering of pixel intensities within a window, rather than the intensity values themselves. Experimental studies show that the proposed method is robust with respect to distortion, tolerates a small amount of random noise, and produces higher numbers of matched pixels than other similar matching methods.
  • Keywords
    face recognition; identification; image matching; nonparametric statistics; random noise; smart pixels; distortion; image matching; matched pixels identification; nonparametric area based method; random noise; Australia; Face recognition; Fractals; Image matching; Noise robustness; Pattern matching; Pixel; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
  • Print_ISBN
    981-04-8364-3
  • Type

    conf

  • DOI
    10.1109/ICARCV.2002.1238506
  • Filename
    1238506