• DocumentCode
    3136429
  • Title

    Illumination-robust face recognition using tensor-based active appearance model

  • Author

    Hyung-Soo Lee ; Daijin Kim

  • Author_Institution
    Biometrics Eng. Res. Center, POSTECH, Pohang
  • fYear
    2008
  • fDate
    17-19 Sept. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, we propose an illumination-robust face recognition using tensor-based active appearance model (AAM). First, we introduce the tensor-based AAM which generates variation specific AAM basis vectors for improving the fitting performance of AAM. Then, we propose a novel illumination transformation method which adopts ratio image concept into tensor model framework. Experimental results show that the proposed tensor-based AAM improves the performance of face recognition significantly.
  • Keywords
    face recognition; tensors; fitting performance; illumination transformation; illumination-robust face recognition; ratio image concept; tensor-based active appearance model; Active appearance model; Biometrics; Bismuth; Face recognition; Kernel; Lighting; Security; Shape; Tensile stress; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on
  • Conference_Location
    Amsterdam
  • Print_ISBN
    978-1-4244-2153-4
  • Type

    conf

  • DOI
    10.1109/AFGR.2008.4813451
  • Filename
    4813451