Abstract
A new design foran eye gaze tracking system based on stereovision technique is presented. The system consists of two CCD cameras and two novel light sources for stereovision. The way of getting pupil position is to do subtraction of two images, the “bright pupil” and the “dark pupil”, which are gained by illuminating user’s eyes alternately. The pupil center is located by ellipse fitting when the Purkinje image is gained in the “dark pupil”, so the local gaze direction can be obtained. We also use support vector regression to figure out the mapping relationship from eye parameters to gaze point, and the interference from head motion may be eliminated by using 3D eyeball data. The experimental results show that the system can achieve an average accuracy of 1.8 degree and be robust in gaze tracking under large head movements.
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Zhang, P., Wang, Z., Zheng, S., Gu, X. (2009). A Design and Research of Eye Gaze Tracking System Based on Stereovision. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_32
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DOI: https://doi.org/10.1007/978-3-642-04070-2_32
Publisher Name: Springer, Berlin, Heidelberg
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