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
Link To Document :
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