Robust eye detection under active infrared illumination

Publikationstyp
Conference Paper
Date Issued
2006
Sprache
English
Author(s)
Zhao, Shuyan  
Grigat, Rolf-Rainer  
Institut
Bildverarbeitungssysteme E-2  
TORE-URI
http://hdl.handle.net/11420/10075
First published in
Proceedings of the International Conference on Pattern Recognition  
Number in series
4
Start Page
481
End Page
484
Article Number
1699883
Citation
Proceedings - International Conference on Pattern Recognition 4: 1699883 481-484 (2006-12-01)
Contribution to Conference
18th International Conference on Pattern Recognition, (ICPR 2006)  
Publisher DOI
10.1109/ICPR.2006.1004
Scopus ID
2-s2.0-34147093081
Publisher
IEEE
Eye detection is very important for automatic face recognition and gaze tracking. In this paper we propose an algorithm for eye detection under active infrared (IR) illumination. A simple hardware enables us to make use of a physiological property of the eyes. A new thresholding method is introduced in order to effectively search the regions of interest (ROI). An appearance model is then used to verify the pupil candidates. However, the existence of eyeglasses has a negative effect on selection of candidates. Regarding this the generalized symmetry transform (GST) is exploited. By using a simplified distance weight, we reduce the computational cost of the original transform. Experimental results demonstrate the effectiveness of the proposed eye detection method.
DDC Class
004: Informatik
600: Technik
610: Medizin
Funding Organisations
Bundesministerium für Wirtschaft und Technologie
More Funding Information
This work is part of the project KATO – Innovative Cabin Technologies funded by the German Federal Ministry of Economics and Technology.