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Subpixel eye gaze tracking

Jie Zhu, Jie Yang·2003·Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition

Abstract

This paper addresses the accuracy problem of an eye gaze tracking system. We first analyze the technical barrier for a gaze tracking system to achieve a desired accuracy, and then propose a subpixel tracking method to break this barrier. We present new algorithms for detecting the inner eye corner and the center of an iris at subpixel accuracy, and we apply these new methods in developing a real-time gaze tracking system. Experimental results indicate that the new methods achieve an average accuracy within 1.4/spl deg/ using normal eye image resolutions.

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Metadata

Authors
Zhu, J., & Yang, J.
Venue
Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition
Publisher
IEEE
Published
2003-06-25
Pages
131-136
OpenAlex
W2104188055
Cited by
183
References
0
FWCI
10.05
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Subpixel eye gaze tracking. https://app.cochat.ai/papers/10.1109/afgr.2002.1004144
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Zhu, J., & Yang, J. (2003). Subpixel eye gaze tracking. Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition. https://doi.org/10.1109/afgr.2002.1004144

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.