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
Link To Document :
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