1 January 2009 Fast illumination normalization for robust eye localization under variable illumination
Author Affiliations +
J. of Electronic Imaging, 18(1), 010503 (2009). doi:10.1117/1.3086868
Abstract
Most eye localization methods suffer from illumination variation. To overcome this problem, we propose an illumination normalization technique as a preprocessing step before localizing eyes. This technique requires no training process, no assumption on the light conditions, and no alignment between different images for illumination normalization. Moreover, it is fast and thus effective for real-time applications. Experiment results verify the effectiveness and efficiency of the eye localization scheme with the proposed illumination normalization technique.
Fei Yang, Jianbo Su, "Fast illumination normalization for robust eye localization under variable illumination," Journal of Electronic Imaging 18(1), 010503 (1 January 2009). http://dx.doi.org/10.1117/1.3086868
Submission: Received ; Accepted
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KEYWORDS
Eye

Light sources and illumination

Databases

Eye models

Binary data

Image processing

Facial recognition systems

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