• DocumentCode
    2957584
  • Title

    An Improved Approach to the Line-Based Face Recognition

  • Author

    Ming, Anlong ; Ma, Huadong

  • Author_Institution
    Beijing Key Lab. of Intelligent Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun.
  • fYear
    2006
  • fDate
    9-12 July 2006
  • Firstpage
    1553
  • Lastpage
    1556
  • Abstract
    The line-based face recognition method is distinguished by its features, but its development and application is limited to some inherent drawbacks. This paper propose a method for decreasing the influence under variable illumination intensity by using the line-based singular value (LSV) feature vector instead of image gray-level value to calculate "distance" between two lines. We prove that our method is invariant to the illumination intensity. Finally, we suggest a distributed computing algorithm using grid computing to solve the multi-scale computation. Experimental results show our approach is effective
  • Keywords
    face recognition; feature extraction; grid computing; LSV feature vector; distributed computing algorithm; face recognition method; grid computing; line-based singular value; Distributed computing; Face detection; Face recognition; Grid computing; Image segmentation; Laboratories; Lattices; Lighting; Pixel; Principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2006 IEEE International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0366-7
  • Electronic_ISBN
    1-4244-0367-7
  • Type

    conf

  • DOI
    10.1109/ICME.2006.262840
  • Filename
    4036909