• DocumentCode
    312092
  • Title

    A neural-network approach for compact multi-level representation of human faces

  • Author

    Grudin, M.A. ; Lisboa, P.J.G. ; Harvey, D.M.

  • Author_Institution
    Liverpool John Moores Univ., UK
  • fYear
    1997
  • fDate
    7-9 Jul 1997
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    The authors aim to represent a facial image in a hierarchical manner, extract the most remarkable features on each scale, and select only those which remain most stable for different appearances. This may be used to solve a problem indicated by Mallat (1996) concerning the integration of high-level information into a low-level representation. The subordinate advantage of this recognition scheme is a compact face representation, which allows for the reduced database size and faster performance
  • Keywords
    neural nets; compact face representation; compact multi-level representation; database size; feature extraction; hierarchical facial image representation; high-level information; human faces; low-level representation; neural network approach; performance;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440)
  • Conference_Location
    Cambridge
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-690-3
  • Type

    conf

  • DOI
    10.1049/cp:19970699
  • Filename
    607490
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=312092