Unsupervised approach for the accurate localization of the pupils in near-frontal facial images (Articolo in rivista)

Type
Label
  • Unsupervised approach for the accurate localization of the pupils in near-frontal facial images (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/1.JEI.22.3.033033 (literal)
Alternative label
  • Leo, Marco; Cazzato, Dario; De Marco, Tommaso; Distante, Cosimo (2013)
    Unsupervised approach for the accurate localization of the pupils in near-frontal facial images
    in Journal of electronic imaging (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Leo, Marco; Cazzato, Dario; De Marco, Tommaso; Distante, Cosimo (literal)
Pagina inizio
  • 033033 (literal)
Pagina fine
  • 033033 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84892183650&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 22 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 10 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • National Research Council of Italy, Institute of Optics, via della Libertà, 3, 73010 Arnesano (Lecce), Italy (literal)
Titolo
  • Unsupervised approach for the accurate localization of the pupils in near-frontal facial images (literal)
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 (literal)
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