• DocumentCode
    3456618
  • Title

    A Reflection and Occlusion Robust Eye Center Searching Algorithm

  • Author

    Xu, Guoqing ; Wang, Yangsheng ; Zhou, Mingcai ; Huang, Xiangsheng

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Eye center detection is an essential module in iris segmentation and gaze tracking. It is more challengeable to achieve this goal using a usual web camera under natural illumination. The image resolution and the eye region scale are main problems. Focusing on solving these problems, this paper proposes a robust eye center searching algorithm which can locate the iris including the center and the radius in Id searching time consuming. Experiment shows an excited result. Compared with the well known Hough and Integral Differential, this method also is robust to the reflection and occlusion.
  • Keywords
    Hough transforms; eye; image matching; image resolution; image segmentation; iris recognition; Hough differential; eye center detection; eye region scale; gaze tracking; image resolution; integral differential; iris segmentation; occlusion; Accuracy; Face; Feature extraction; Iris; Iris recognition; Pixel; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Electronic_ISBN
    978-1-4244-7210-9
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659173
  • Filename
    5659173