A Fully Automatic Approach for the Accurate Localization of the Pupils

  • Marco Leo
  • Dario Cazzato
  • Tommaso De Marco
  • Cosimo Distante
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8156)


This paper presents a new method to automatically locate pupils in images (even with low-resolution) containing human faces. In particular pupils are localized by a two steps procedure: at first self-similarity information is extracted by considering the appearance variability of local regions and then they are 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 containing facial images acquired under different lighting conditions and with different scales and poses.


Self-similarity Saliency Circularity Analysis Pupil Localization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marco Leo
    • 1
  • Dario Cazzato
    • 1
  • Tommaso De Marco
    • 1
  • Cosimo Distante
    • 1
  1. 1.Institute of OpticsNational Research Council of ItalyArnesanoItaly

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