• DocumentCode
    619932
  • Title

    Eyes location method based on the adaboost algorithm and block integral projection

  • Author

    Guofeng Zou ; Kejun Wang ; Mo Tang ; Guixia Fu

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    1483
  • Lastpage
    1486
  • Abstract
    In this paper, an effective method of eye location based on the AdaBoost algorithm and block integral projection is proposed. First the eye classifier based on the AdaBoost algorithm is used to quickly detect the eye candidate region in face region image. Then according to the position and proportion of the eyes, the eye candidate region is divided into three sub-regions, the eyes positions can be precisely located by using gray integral projection in the left-eye and right-eye sub-regions. The experimental results show that the block integral projection can prevent the emergence of pseudo feature points because of face tilt, and the influences of the spectacle border and spectacle frame can be avoided. The proposed method has better real-time performance and locating accuracy, it has practical value.
  • Keywords
    eye; face recognition; image classification; image colour analysis; iris recognition; learning (artificial intelligence); AdaBoost algorithm; block integral projection; eye candidate region detection; eye classifier; eyes location method; face region image; gray integral projection; Accuracy; Databases; Face; Glass; Lighting; Real-time systems; Training; Block integral projection; Eye location; The Adaboost algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561161
  • Filename
    6561161