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

Marco Leo; Dario Cazzato; Tommaso De Marco; Cosimo Distante

doi:10.1117/1.JEI.22.3.033033

25 September 2013 Unsupervised approach for the accurate localization of the pupils in near-frontal facial images

Marco Leo, Dario Cazzato, Tommaso De Marco, Cosimo Distante

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 3, 033033 (September 2013). https://doi.org/10.1117/1.JEI.22.3.033033

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

Published: 25 September 2013

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