Unsupervised approach for the accurate localization of the pupils in near-frontal facial images
Authors: Leo M., Cazzato D., De Marco T., Distante C.
Autors Affiliation: National Research Council of Italy—Institute of Optics, via della Libertà, 3 73010 Arnesano (Lecce)
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. (C) 2013 SPIE and IS&T
Journal/Review: JOURNAL OF ELECTRONIC IMAGING
Volume: 22 (3) Pages from: 1 to: 12
KeyWords: Pattern Recognition; gaze tracking; DOI: 10.1117/1.JEI.22.3.033033Citations: 13data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2020-01-12References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here