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Proceedings Paper

3D gaze estimation based on facial feature tracking
Author(s): Yi Man; Xinbo Zhao; Ke Zhang
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Paper Abstract

A 3D gaze estimation and tracking algorithm based on facial feature tracking is presented in this paper. Firstly, we used the Active Shape Model (ASM) to extract facial feature points with a stereo camera. Then, the full 3D pose of head is estimated by comparing the feature points of current pose with initial head pose. After that, the center of eyeball is obtained based on a 3D eye model which is related to head pose and the middle point of eye corners. Thereby, optical axis was computed as 3D vectors through the center of eyeball to the center of pupil. Finally, visual axis was gotten by adding an angle to optical axis. Here, in our system, a one-time personal calibration is used to determine this angle. The experimental results show the accuracy of our gaze tracking system achieves less than 3 degree.

Paper Details

Date Published: 20 March 2013
PDF: 6 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681N (20 March 2013); doi: 10.1117/12.2010781
Show Author Affiliations
Yi Man, Northwestern Polytechnical Univ. (China)
Xinbo Zhao, Northwestern Polytechnical Univ. (China)
Ke Zhang, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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