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

  Articoli su Riviste JCR/ISI  (anno 2013)

Autori:  Leo M., Cazzato D., De Marco T., Distante C

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

Riassunto:  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

Rivista/Giornale:  JOURNAL OF ELECTRONIC IMAGING
Volume n.:  22 (3)      Pagine da: 1  a: 12
DOI: 10.1117/1.JEI.22.3.033033

*Impact Factor della Rivista: (2013) 0.850   *Citazioni: 4
data tratti da "WEB OF SCIENCE" (marchio registrato di Thomson Reuters) ed aggiornati a:  19/05/2019

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