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Unsupervised approach for the accurate localization of the pupils in near-frontal facial images

[+] Author Affiliations
Marco Leo

National Research Council of Italy—Institute of Optics, via della Libertà, 3 73010 Arnesano (Lecce)

Dario Cazzato

National Research Council of Italy—Institute of Optics, via della Libertà, 3 73010 Arnesano (Lecce)

Tommaso De Marco

National Research Council of Italy—Institute of Optics, via della Libertà, 3 73010 Arnesano (Lecce)

Cosimo Distante

National Research Council of Italy—Institute of Optics, via della Libertà, 3 73010 Arnesano (Lecce)

J. Electron. Imaging. 22(3), 033033 (Sep 25, 2013). doi:10.1117/1.JEI.22.3.033033
History: Received March 28, 2013; Revised August 21, 2013; Accepted August 29, 2013
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Abstract.  A new method to automatically locate pupils in images (even with low resolution) containing near-frontal human faces is presented. In particular, pupils are localized by an unsupervised procedure consisting of two steps: at first, self-similarity information is extracted by considering the appearance variability of local regions, and then it is combined with an estimator of circular shapes based on a modified version of the circular Hough transform. Experimental evidence of the effectiveness of the method was achieved on challenging databases and video sequences containing facial images acquired under different lighting conditions and with different scales and poses.

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Topics

Databases ; Eye ; Video

Citation

Marco Leo ; Dario Cazzato ; Tommaso De Marco and Cosimo Distante
"Unsupervised approach for the accurate localization of the pupils in near-frontal facial images", J. Electron. Imaging. 22(3), 033033 (Sep 25, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.3.033033


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