• DocumentCode
    3622617
  • Title

    FAIR: Towards A New Feature for Affinely-Invariant Recognition

  • Author

    R. Sara;M. Matousek

  • Author_Institution
    Czech Technical University
  • Volume
    2
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    412
  • Lastpage
    416
  • Abstract
    In this paper we propose the first version of FAIR, a low-dimensional image neighborhood descriptor that shows performance comparable to SIFT introduced by Lowe. The dimension of FAIR we tested is 30, compared to the dimension of 128 in SIFT. Sensitivity of the FAIR descriptor to skew, rotation, image blur and noise is similar to SIFT. FAIR shows better localization in scale-space than SIFT. Several extensions of FAIR that could improve its performance are discussed
  • Keywords
    "Testing","Image representation","Noise robustness","Image retrieval","Image recognition","Robot localization","Image registration","Shape","Art","Layout"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.542
  • Filename
    1699232
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3622617