• DocumentCode
    3549049
  • Title

    A nonlinear approach for face sketch synthesis and recognition

  • Author

    Liu, Qingshan ; Tang, Xiaoou ; Jin, Hongliang ; Lu, Hanqing ; Ma, Songde

  • Author_Institution
    Dept. of Inf. Eng., Hong Kong Chinese Univ., China
  • Volume
    1
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    1005
  • Abstract
    Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two elements: pseudo-sketch synthesis and sketch recognition. The pseudo-sketch generation method is based on local linear preserving of geometry between photo and sketch images, which is inspired by the idea of locally linear embedding. The nonlinear discriminate analysis is used to recognize the probe sketch from the synthesized pseudo-sketches. Experimental results on over 600 photo-sketch pairs show that the performance of the proposed method is encouraging.
  • Keywords
    computational geometry; face recognition; statistical analysis; face recognition system; face sketch recognition; face sketch synthesis; nonlinear discriminate analysis; photo-based face recognition; pseudosketch generation; pseudosketch synthesis; Databases; Face recognition; Geometry; Kernel; Laboratories; Linear discriminant analysis; Nearest neighbor searches; Nonlinear distortion; Pattern recognition; Probes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.39
  • Filename
    1467376