Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866912109400424448 |
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| author | Pathiranage, Nipun Sandamal Ranasekara Cristina, Stefania Camilleri, Kenneth P. |
| author_facet | Pathiranage, Nipun Sandamal Ranasekara Cristina, Stefania Camilleri, Kenneth P. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_04912 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking Pathiranage, Nipun Sandamal Ranasekara Cristina, Stefania Camilleri, Kenneth P. Computer Vision and Pattern Recognition 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. |
| title | Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.04912 |