Fast and Accurate Pupil Localization in Natural Scenes-Reference-Cited by-同舟云学术

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Fast and Accurate Pupil Localization in Natural Scenes

Published:2024-06-03 Issue: Volume: Page:
ISSN:1672-6529
Container-title:Journal of Bionic Engineering
language:en
Short-container-title:J Bionic Eng

Author:

Guo Zhuohao,Su Manjia,Li Yihui,Liu Tianyu,Guan Yisheng,Zhu Haifei

Funder

Guangdong Provincial Introduction of Innovative Research and Development Team

The Natural Science Foundation of China

The Key Research and Development Program of Guangdong Province

The Natural Science Foundation of Guangdong Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42235-024-00550-2.pdf

Reference38 articles.

1. Wang, L., Wang, C., Zhang, Y., & Gao, L. (2023). An integrated neural network model for eye-tracking during human-computer interaction. Mathematical Biosciences and Engineering, 20(8), 13974–13988.

2. Pathirana, P., Senarath, S., Meedeniya, D., & Jayarathna, S. (2022). Eye gaze estimation: a survey on deep learning-based approaches. Expert Systems with Applications, 199, 116894.

3. Kong, Y., Lee, S., Lee, J., & Nam, Y. (2018). A head-mounted goggle-type video-oculography system for vestibular function testing. EURASIP Journal on Image and Video Processing, 2018, 1–10.

4. Tonsen, M., Zhang, X., Sugano, Y., & Bulling, A. (2016). Labeled pupils in the wild: a dataset for studying pupil detection in unconstrained environments. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, New York, USA, pp. 139–142.

5. Mestre, C., Gautier, J., & Pujol, J. (2018). Robust eye tracking based on multiple corneal reflections for clinical applications. Journal of Biomedical Optics, 23(3), 035001.

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