• DocumentCode
    177820
  • Title

    3-D Gaze Tracking Using Pupil Contour Features

  • Author

    Chih-Chuan Lai ; Sheng-Wen Shih ; Hsin-Ruey Tsai ; Yi-Ping Hung

  • Author_Institution
    Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    1162
  • Lastpage
    1166
  • Abstract
    Glint features have important roles in gaze tracking systems. But when the operation range of a gaze tracking system is enlarged, the performance of glint-feature-based (GFB) approaches will be degraded mainly due to the curvature variation problem at around the edge of the cornea. Although the pupil contour feature may provide complementary information to help estimating the eye gaze, existing methods do not properly handle the cornea refraction problem, leading to inaccurate results. This paper describes a contour-feature-based (CFB) 3-D gaze tracking method that is compatible to cornea refraction. Experiments show the effectiveness of the proposed approach for gaze tracking.
  • Keywords
    edge detection; feature extraction; gaze tracking; 3D gaze tracking; cornea refraction problem; curvature variation problem; eye gaze estimation; gaze tracking method; gaze tracking system; glint feature based; pupil contour feature; pupil contour features; Accuracy; Cameras; Cornea; Estimation; Light sources; Tracking; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.209
  • Filename
    6976919