• DocumentCode
    1657462
  • Title

    A vote of confidence based interest point detector

  • Author

    Zhenwei Miao ; Xudong Jiang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2013
  • Firstpage
    1459
  • Lastpage
    1463
  • Abstract
    In this paper, a vote of confidence (VC) based detector is proposed to detect bright and dark regions from images. Whether a local region is bright or dark is voted by all the pixels in this region. Compared to the contrast based detectors, such as the popular SIFT detector, the VC detector is invariant to illumination change and robust to abrupt variations. Experiments are conducted on benchmark databases to verify the superior performance of the VC detector in terms of the repeatability and matching score. The proposed detector is also evaluated in the application of face recognition.
  • Keywords
    face recognition; image matching; VC based detector; abrupt variations; benchmark databases; bright image regions; dark image regions; face recognition; illumination change; interest point detector; matching score; popular SIFT detector; repeatability score; vote of confidence; Abstracts; Databases; Interest point detection; face recognition; image matching; repeatability; vote of confidence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637893
  • Filename
    6637893