• DocumentCode
    3147179
  • Title

    A novel rank order LoG filter for interest point detection

  • Author

    Miao, Zhenwei ; Jiang, Xudong

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    937
  • Lastpage
    940
  • Abstract
    This paper proposes a novel non-linear filter, named rank order LoG (ROLG) filter, and a new interest point detector, named ROLG detector. The ROLG filter is a weighted rank order filter. It is used to detect image structures whose significant majority of pixels are brighter (or darker) than the significant majority of pixels in their corresponding surroundings. The ROLG detector is built on this filter. Compared to linear filter based detectors, the proposed rank order filter based detector is more robust to abrupt variations of images. Experiments on the benchmark databases demonstrate that the ROLG detector achieves superior performance compared to four state-of-the-art detectors. Evaluation experiments are also conducted on face recognition. The results further demonstrate that the ROLG detector has better performance compared to other detectors.
  • Keywords
    face recognition; image sensors; nonlinear filters; signal detection; face recognition; image structure detection; interest point detection; linear filter based detector; nonlinear filter; weighted ROLG filter; weighted rank order LoG filter; Computer vision; Databases; Detectors; Face; Face recognition; Noise; Pattern analysis; Interest point detection; face recognition; image matching; repeatability; weighted rank order filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288039
  • Filename
    6288039