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arXiv · 2411.04912

Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking

Nipun Sandamal Ranasekara Pathiranage·Stefania Cristina·Kenneth P. Camilleri
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Abstract

In this research work, we address the problem of robust iris centre localisation in unconstrained conditions as a core component of our eye-gaze tracking platform. We investigate the application of U-Net variants for segmentation-based and regression-based approaches to improve our iris centre localisation, which was previously based on Bayes' classification. The achieved results are comparable to or better than the state-of-the-art, offering a drastic improvement over those achieved by the Bayes' classifier, and without sacrificing the real-time performance of our eye-gaze tracking platform.

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BibTeXRIS

Nipun Sandamal Ranasekara Pathiranage, Stefania Cristina, Kenneth P. Camilleri. 2024-11-07. Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking. https://arxiv.org/abs/2411.04912

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