• DocumentCode
    1934001
  • Title

    The New Theory of Discriminating and Generating Optimal-face

  • Author

    Li, Yingchun ; Su, Guangda

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • Volume
    2
  • fYear
    2006
  • fDate
    16-20 Nov. 2006
  • Abstract
    In this paper, a new theory of optimal-face generating is proposed to improve recognition rate of face image. Its aim is to solve how to select a relatively better face image to be recognized in dynamic face recognition system. The proposed theory improves the system performance by integrating the effects of multiple factors including pose, illuminating, expression and resolution. A new system is built between face detecting system and face recognition system which is called the optimal-face generating system. The method of optimal-face generating is to generate a face image suit for recognition through searching for or synthesizing or transforming images. The optimal-face is the one which has frontal view or small rotations, neutral expression, even illumination and high resolution. The recognition rate in dynamic recognition system is greatly improved after applied the proposed theory and new system
  • Keywords
    face recognition; image resolution; object detection; dynamic recognition system; face detecting system; face image recognition; generating optimal-face; illuminating; image resolution; pose; Algebra; Cameras; Face detection; Face recognition; Image generation; Image recognition; Lighting; Security; Surveillance; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.345722
  • Filename
    4129014