Pupil Localization by a Template Matching Method

Donatello Conte, Rosario Di Lascio, Pasquale Foggia, Gennaro Percannella, Mario Vento


In this paper, a new algorithm for pupil localization is proposed. The algorithm is based on a template matching approach; the original contribution is that the model of the pupil that is used is not fixed, but it is automatically constructed on the first frame of the video sequence to be examined. Therefore the model is adaptively tuned to each subject, in order to improve the robustness and the accuracy of the detection. The results show the effectiveness of the proposed algorithm.


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Paper Citation

in Harvard Style

Conte D., Di Lascio R., Foggia P., Percannella G. and Vento M. (2013). Pupil Localization by a Template Matching Method . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 779-782. DOI: 10.5220/0004287907790782

in Bibtex Style

author={Donatello Conte and Rosario Di Lascio and Pasquale Foggia and Gennaro Percannella and Mario Vento},
title={Pupil Localization by a Template Matching Method},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},

in EndNote Style

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Pupil Localization by a Template Matching Method
SN - 978-989-8565-47-1
AU - Conte D.
AU - Di Lascio R.
AU - Foggia P.
AU - Percannella G.
AU - Vento M.
PY - 2013
SP - 779
EP - 782
DO - 10.5220/0004287907790782