An Unsupervised Approach for the Accurate Localization of the Pupils in Near-Frontal Facial Images

نویسندگان

  • Marco Leo
  • Dario Cazzato
  • Tommaso De Marco
  • Cosimo Distante
چکیده

This paper presents a new method to automatically locate pupils in images (even with low-resolution) containing near-frontal human faces. 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.

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تاریخ انتشار 2013