• DocumentCode
    459015
  • Title

    Illumination Variation in Images in Independent Component Analysis and Principal Component Analysis Subspaces

  • Author

    Zheng, Zhen ; Zhang, Yanxin

  • Author_Institution
    Inst. of Modern Opt., Nankai Univ., Tianjin
  • Volume
    2
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    724
  • Lastpage
    729
  • Abstract
    We have investigated the illumination variation in the images taken under a wide variety of lighting conditions in independent component analysis (ICA) and principal component analysis (PCA) subspaces. In ICA subspace, an independent component (IC) is proved to be the composite factor of illumination variation. In PCA subspace, almost all the principal components (PC´s) are proved to contain illumination variation, and a 15-D and 50-D in PCA subspace have more than 5% and 2% related deviation of illumination variation in images, respectively
  • Keywords
    image processing; independent component analysis; principal component analysis; image illumination variation; independent component analysis; principal component analysis; Data compression; Face recognition; Feature extraction; Image reconstruction; Independent component analysis; Jacobian matrices; Lighting; Optical devices; Principal component analysis; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.253701
  • Filename
    4021753