• DocumentCode
    657912
  • Title

    An Effective Blur Invariant Interest Point Detector

  • Author

    Jin Xie ; Zixing Cai

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2013
  • fDate
    14-15 Sept. 2013
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    In order to extract interest point under some object deformations, such as image blur, geometric deformation et al., an invariant interest point detector based on Gabor multi scale-space was proposed. Firstly, build the Gabor multi scale-space representation by smoothing the image with a series of Gabor filters, secondly, detect the interest points by searching maximum response in the Gabor multi scale-space and determine the characteristic scale directly, finally, describe the local structure of interest point. The experimental data demonstrate that the proposed detector obtains the best performance under image blur in terms of repeatability and matching score.
  • Keywords
    Gabor filters; computational geometry; feature extraction; image matching; image representation; image restoration; smoothing methods; Gabor filters; Gabor multiscale-space representation; blur invariant interest point detector; characteristic scale; geometric deformation; image blur; image smoothing; interest point extraction; local interest point structure; matching score; maximum response search; object deformations; repeatability; Computer vision; Detectors; Educational institutions; Feature extraction; Gabor filters; Information science; Shape; characteristic scale; gabor filter; image blur; multiscale-space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2013 International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/ICVRV.2013.54
  • Filename
    6689436