• DocumentCode
    457225
  • Title

    Differentiating Between Many Similar Features using Relational Information in Space and Scale

  • Author

    Gan, Timothy S Y ; Drummond, Tom W.

  • Author_Institution
    Dept. of Eng., Cambridge Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    638
  • Lastpage
    641
  • Abstract
    We present an approach for differentiating between large numbers of similar feature points. The approach employs a learning strategy which utilizes mutual information to yield relational information or structure between feature points. It learns an ordered list of jumps in space and scale which is used for differentiation. To test the viability and potential of the approach, two datasets containing faces and objects were used
  • Keywords
    feature extraction; learning (artificial intelligence); feature points; learning strategy; relational information; Computer vision; Data mining; Feature extraction; Gallium nitride; Image databases; Mutual information; Pattern recognition; Runtime; Spatial databases; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.449
  • Filename
    1699286