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Authors: Nikolaos Poulopoulos and Emmanouil Z. Psarakis

Affiliation: Department of Computer Engineering & Informatics, University of Patras, Greece

Keyword(s): Eye Localization, Eye Tracking, Deep Neural Networks, Deep Learning, Fully Convolutional Network (FCN).

Abstract: Precise eye center localization constitutes a very promising but challenging task in many human interaction applications due to many limitations related with the presence of photometric distortions and occlusions as well as pose and shape variations. In this paper, a Fully Convolutional Network (FCN), namely DeepPupil Net is proposed to localize precisely the eye centers by performing image-to-heatmap regression between the eye regions and the corresponding heatmaps. Moreover, a new loss function is introduced in order to incorporate into the training process the predicted eye center positions and penalize inaccurate localizations. The proposed method achieves real-time performance in a general-purpose computer environment and outperforms in terms of accuracy the state-of-the-art eye center localization techniques.

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Paper citation in several formats:
Poulopoulos, N. and Psarakis, E. (2022). DeepPupil Net: Deep Residual Network for Precise Pupil Center Localization. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 297-304. DOI: 10.5220/0010777900003124

@conference{visapp22,
author={Nikolaos Poulopoulos. and Emmanouil Z. Psarakis.},
title={DeepPupil Net: Deep Residual Network for Precise Pupil Center Localization},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP},
year={2022},
pages={297-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010777900003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP
TI - DeepPupil Net: Deep Residual Network for Precise Pupil Center Localization
SN - 978-989-758-555-5
IS - 2184-4321
AU - Poulopoulos, N.
AU - Psarakis, E.
PY - 2022
SP - 297
EP - 304
DO - 10.5220/0010777900003124
PB - SciTePress

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