Abstract
In this paper, we propose a novel calibration framework for the gaze estimation of mobile gaze tracking systems. In our method, the user's eye and the eye camera are modeled as a central catadioptric camera. Thus the epipolar geometry of the mobile gaze tracker can be described by the hybrid two-view geometry. To calibrate this model, the user is asked to gaze at the calibration points distributed in 3-D space but not all located on one plane. In the light of binocular training data, we apply a 3×6 local hybrid-fundamental matrix to register pupil centers with epipolar lines in the scene image. Thus the image gaze point viewed from different depths can be uniquely determined as the intersection of two epipolar lines calculated by binocular data. The simulation and experimental results show the effectiveness of our proposed calibration framework for mobile gaze trackers.
| Original language | English |
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| Title of host publication | Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) |
| Publisher | IEEE |
| Pages | 302-307 |
| ISBN (Electronic) | 9781538637425 |
| ISBN (Print) | 9781538637418, 9781538637432 |
| DOIs | |
| Publication status | Published - Dec 2017 |
| Event | 2017 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2017) - The Parisian Macao, Macau SAR, China Duration: 5 Dec 2017 → 8 Dec 2017 http://2017.ieee-robio.org/ |
Publication series
| Name | IEEE International Conference on Robotics and Biomimetics, ROBIO |
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| Publisher | IEEE |
Conference
| Conference | 2017 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2017) |
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| Place | China |
| City | Macau SAR |
| Period | 5/12/17 → 8/12/17 |
| Internet address |