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