• DocumentCode
    2481099
  • Title

    IFLT Based Real-Time Framework for Image Matching

  • Author

    Janney, Pranam ; Geers, Glenn

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of New South Wales (UNSW), Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    2242
  • Lastpage
    2245
  • Abstract
    In this paper we show that the features generated by the recently presented Invariant Features of Local Textures (IFLT) technique can be used in a SIFT like framework to deliver real-time point wise image matching with performance comparable to existing state-of-the-art image matching systems. The proposed framework is also capable of saving considerable amount of computation time.
  • Keywords
    image matching; image texture; SIFT like framework; image matching; invariant features of local textures; Detectors; Histograms; Image coding; Image matching; Lighting; Pixel; Transform coding; affine transformations; descriptors; detectors; image matching; invariant; keypoints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.549
  • Filename
    5595961