• DocumentCode
    1191926
  • Title

    Well-distributed SIFT features

  • Author

    Song, Rachel ; Szymanski, Janusz

  • Author_Institution
    Dept. of Electron., Univ. of York, York
  • Volume
    45
  • Issue
    6
  • fYear
    2009
  • Firstpage
    308
  • Lastpage
    310
  • Abstract
    A method to enhance the recognition of spatially distributed features, based on the scale invariant feature transform (SIFT), is reported. The key idea is to modify the way in which the selection of a set of contender interest points from each input image is carried out, using a non-maximal suppression approach in the different scale spaces.
  • Keywords
    feature extraction; image matching; image registration; SIFT feature; image matching; image registration; nonmaximal suppression approach; scale invariant feature transform; spatially distributed feature recognition;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2009.2954
  • Filename
    4800383
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1191926