• DocumentCode
    249969
  • Title

    Evaluating the performance and correlation of colour invariant local image feature detectors

  • Author

    Barroso, Tony Marrero ; Ghita, Ovidiu ; Whelan, Paul F.

  • Author_Institution
    Centre for Image Process. & Anal., Dublin City Univ., Dublin, Ireland
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    5751
  • Lastpage
    5755
  • Abstract
    This paper evaluates the performance of state of the art colour invariants for the purposes of local image feature detection. We adapt the Harris-Laplace detector for colour invariance and test it under general image distortions. A second investigation examines the correlation between the colour invariants where the number of correctly detected unique points are analysed. This paper aims to answer if colour invariants should be used for feature detection purposes, and if they could be jointly used by feature fusion techniques to augment the performance of intensity-based detectors.
  • Keywords
    Laplace equations; correlation methods; feature extraction; image colour analysis; image fusion; Harris-Laplace detector; colour invariants; correlation; feature fusion techniques; general image distortions; intensity-based detectors; local image feature detection; performance evaluation; Correlation; Detectors; Feature extraction; Image color analysis; Imaging; Lighting; Robustness; Harris-Laplace; colour detector; colour invariants; local feature detection; photometric invariance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026163
  • Filename
    7026163