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Journal of Electronic Imaging

Unsupervised approach for the accurate localization of the pupils in near-frontal facial images
Author(s): Marco Leo; Dario Cazzato; Tommaso De Marco; Cosimo Distante
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Paper 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.

Paper Details

Date Published: 25 September 2013
PDF: 11 pages
J. Electron. Imag. 22(3) 033033 doi: 10.1117/1.JEI.22.3.033033
Published in: Journal of Electronic Imaging Volume 22, Issue 3
Show Author Affiliations
Marco Leo, Consiglio Nazionale delle Ricerche (Italy)
Dario Cazzato, Consiglio Nazionale delle Ricerche (Italy)
Tommaso De Marco, Consiglio Nazionale delle Ricerche (Italy)
Cosimo Distante, Consiglio Nazionale delle Ricerche (Italy)

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