Unsupervised approach for the accurate localization of the pupils in near-frontal facial images
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)
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
Giornale/Rivista: JOURNAL OF ELECTRONIC IMAGING
Volume: 22 (3) Da Pagina: 1 A: 12
Parole chiavi: Pattern Recognition; gaze tracking; DOI: 10.1117/1.JEI.22.3.033033Citazioni: 20dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-04-21Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui