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Robust eye detection under active infrared illumination
Publikationstyp
Conference Paper
Date Issued
2006
Sprache
English
Author(s)
Institut
First published in
Number in series
4
Start Page
481
End Page
484
Article Number
1699883
Citation
18th International Conference on Pattern Recognition, (ICPR 2006)
Contribution to Conference
Publisher DOI
Scopus ID
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.