• DocumentCode
    3730971
  • Title

    Face recognition based on the differential mode SLPP

  • Author

    Zou Guo-feng; Fu Gui-xia; Liu Chuan-yang; Wang Ke-jun

  • Author_Institution
    College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, China
  • fYear
    2015
  • Firstpage
    686
  • Lastpage
    691
  • Abstract
    In this paper, a novel supervised locality preserving projection method based on differential mode is proposed. We proposed the concept of within-class separation degree and between-class separation degree. The discriminant criterion of difference mode based on within-class separation degree matrix and between-class separation degree matrix is constructed. Thus, the singular problem of within-class separation degree matrix is avoided which is caused by small sample problem in the SLPP algorithm. Then we extend the algorithm to nonlinear case by using kernel technique. Finally, the experimental results based on Yale face database, FERET face database show that the proposed method is effective.
  • Keywords
    "Face","Kernel","Databases","Feature extraction","Laplace equations","Eigenvalues and eigenfunctions","Linear programming"
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2015
  • Type

    conf

  • DOI
    10.1109/CAC.2015.7382585
  • Filename
    7382585