• DocumentCode
    2472374
  • Title

    Harris feature vector descriptor (HFVD)

  • Author

    Wang, X.G. ; Wu, F.C. ; Wang, Z.H.

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., China
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard deviation of the Harris feature vector in key point neighborhood, a novel descriptor for key points matching is constructed, which is invariant to image rigid transformation and linear intensity change. Experimental evidence suggests that the novel descriptor has a good adaptability to slight view point changing, JPEG compression as well as nonlinear change of intensity.
  • Keywords
    feature extraction; image matching; statistical analysis; Harris feature vector descriptor; image feature detector; image gradient distribution; image matching; image rigid transformation; standard deviation; Automation; Computer vision; Equations; Filters; Hafnium; Image coding; Image recognition; Image registration; Transform coding; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4760977
  • Filename
    4760977