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Journal of Electronic Imaging • Open Access

Fast illumination normalization for robust eye localization under variable illumination
Author(s): Fei Yang; Jianbo Su

Paper 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.

Paper Details

Date Published: 1 January 2009
PDF: 3 pages
J. Electron. Imag. 18(1) 010503 doi: 10.1117/1.3086868
Published in: Journal of Electronic Imaging Volume 18, Issue 1
Show Author Affiliations
Fei Yang, Shanghai Jiao Tong Univ. (China)
Jianbo Su, Shanghai Jiao Tong Univ. (China)

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