Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking

Nipun Sandamal Ranasekara Pathiranage, Stefania Cristina, Kenneth P. Camilleri
11/7/2024
cs.CV

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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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Cite this paper

@article{pathiranage2024robust,
  title  = {Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking},
  author = {Nipun Sandamal Ranasekara Pathiranage and Stefania Cristina and Kenneth P. Camilleri},
  year   = {2024},
  eprint = {2411.04912},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.04912v1}
}

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