• DocumentCode
    2899688
  • Title

    Robust eye extraction using deformable template and feature tracking ability

  • Author

    Tan, Huachun ; Zhang, Yu-Jin ; Li, Rui

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    2003
  • fDate
    15-18 Dec. 2003
  • Firstpage
    1747
  • Abstract
    A new method of eye extraction from facial image using deformable template is presented in this paper. In the new method, we makes full use of prior knowledge of the eye by employing the tracking ability, which is a good feature measurement proposed by Tomasi (April 1991) for selecting features for tracking, in the energy function. With this new proposed energy term, a special energy function is designed to locate the iris, and the eye template would be attracted to their real location more accurately. In order to let the new energy term react on the image, a three-epochs minimizing process is also applied. Some experimental results show that the new method works well.
  • Keywords
    eye; face recognition; feature extraction; minimisation; deformable template; energy function; eye extraction; facial image; feature tracking ability; iris; three-epochs minimizing process; Data mining; Deformable models; Energy measurement; Face recognition; Feature extraction; Human computer interaction; Iris; Robustness; Shape measurement; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
  • Print_ISBN
    0-7803-8185-8
  • Type

    conf

  • DOI
    10.1109/ICICS.2003.1292766
  • Filename
    1292766