• DocumentCode
    468443
  • Title

    An Affine Invariant Region Detector Using the 4th Differential Invariant

  • Author

    Cai, Hongping ; Lei, Lin ; Su, Yi

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • Volume
    1
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    540
  • Lastpage
    543
  • Abstract
    A novel affine invariant region detector based on the 4th differential invariant (DI4) is proposed in this paper. The detector combines scale-space theory with an autocorrelation matrix. Since it is proved that DI4 is a scale- space selection function, feature points and their characteristic scales are first detected by the local maxima of the normalized DI4 over scale-space. Then, the auto-correlation matrices, which are used to describe the affine shapes, are estimated on the characteristic scales of the feature points. The ellipse regions given by the auto-correlation matrices are affine invariant. In order to verify the affine invariance, we build up a simulation experiment to test affine invariance using two single- parameter transforms. The experimental results show the detected regions are invariant to rotation, scale and affine transforms as well as robust to illumination changes.
  • Keywords
    affine transforms; feature extraction; matrix algebra; 4th differential invariant; affine invariant region detector; affine transforms; autocorrelation matrix; scale-space selection function; scale-space theory; single-parameter transforms; Artificial intelligence; Autocorrelation; Detectors; Gaussian processes; Kernel; Laplace equations; Lighting; Robustness; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
  • Conference_Location
    Patras
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3015-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2007.112
  • Filename
    4410333