• DocumentCode
    916842
  • Title

    Generalised nearest feature line for subspace learning

  • Author

    Pang, Y. ; Yuan, Y. ; Li, X.

  • Author_Institution
    Tianjin Univ., Tianjin
  • Volume
    43
  • Issue
    20
  • fYear
    2007
  • Firstpage
    1079
  • Lastpage
    1080
  • Abstract
    Nearest feature line (NFL) is a powerful tool in pattern recognition, which generalises the representational capacity of available prototypes by using linear interpolation and extrapolation between the feature points. NFL is generalised to subspace learning so that the obtained subspace has desirable discriminating ability. Experiments on face recognition demonstrate its effectiveness.
  • Keywords
    computer vision; extrapolation; face recognition; interpolation; computer vision; face recognition; generalised nearest feature line; linear extrapolation; linear interpolation; pattern recognition; subspace learning;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20072176
  • Filename
    4338194
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=916842