Abstract
Head-mounted eye tracking has significant potential for gaze baesd application such as consumer attention monitoring, human-computer interaction, or virtual reality (VR). Existing methods, however, either use pupil center-corneal reflection (PCCR) vectors as gaze directions or require complex hardware setups and use average physiological parameters of the eye to obtain gaze directions. In view of this situation, we propose a novel method which uses only a single camera to obtain gaze direction by fitting a 3D eye model based on the motion trajectory of pupil contour. Then a 3D to 2D mapping model is proposed based on the fitting model, so the complex structure of hardware and the use of average parameters for the eyes are avoided. The experimental results show that the method can improve the gaze accuracy and simplify the hardware structure.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China under Grants nos. 61871326, and Ningbo Natural Science Foundation under Grants nos. 202003N4367.
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Cao, S., Zhao, X., Qin, B., Li, J., Xiang, Z. (2021). A Monocular Reflection-Free Head-Mounted 3D Eye Tracking System. In: Peng, Y., Hu, SM., Gabbouj, M., Zhou, K., Elad, M., Xu, K. (eds) Image and Graphics. ICIG 2021. Lecture Notes in Computer Science(), vol 12890. Springer, Cham. https://doi.org/10.1007/978-3-030-87361-5_54
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