• DocumentCode
    2474631
  • Title

    Face recognition using illumination invariant features in contourlet domain

  • Author

    Huang, Yuan-Yuan ; Li, Jian-ping ; Duan, Gui-duo ; Lin, Jie ; Hu, De-kun ; Fu, Bo

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    This paper summarizes the recent development of illumination compensation for face recognition. Then a new method is proposed by extracting illumination invariant features in contourlet transform domain based on human visual perception mechanism. The experimental results on Yale B and CMU PIE face databases demonstrate that it is effective and competitive.
  • Keywords
    computer vision; face recognition; wavelet transforms; contourlet transform domain; face recognition; human visual perception; illumination compensation; illumination invariant feature; Databases; Face; Face recognition; Feature extraction; Lighting; Wavelet transforms; Contourlet transform; face recognition; illumination invariant; retinex theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8025-8
  • Type

    conf

  • DOI
    10.1109/ICACIA.2010.5709904
  • Filename
    5709904
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2474631