• DocumentCode
    1897774
  • Title

    Face classification via sparse approximations

  • Author

    Sönmez, Elena Battini ; Sankur, Bülent ; Albayrak, Songül

  • Author_Institution
    Bilgisayar Bilimleri Bolumu, Bilgi Univ., İstanbul, Turkey
  • fYear
    2011
  • fDate
    20-22 April 2011
  • Firstpage
    702
  • Lastpage
    705
  • Abstract
    2D face classification problem is very difficult because of the illumination, pose, expression and occlusion factor. The sparse Representation based classification (SRC) provides a significant amount of robustness against to illumination changes and noise. In this study, sparse approximation is used on face recognition and applied to “Extended Yale Face B” database. Results of sparse approximation classification are compared with Fisher Linear Discriminator.
  • Keywords
    face recognition; image classification; image representation; 2D face classification problem; Extended Yale Face B database; Fisher linear discriminator; SRC; expression factor; face recognition; illumination changes; illumination factor; occlusion factor; pose factor; sparse approximations; sparse representation-based classification; Conferences; Face; Face recognition; Lighting; Mathematical model; Principal component analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4577-0462-8
  • Electronic_ISBN
    978-1-4577-0461-1
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929747
  • Filename
    5929747
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1897774