Zhang, C., Chi, J., Zhang, Z., Wang, Z.: The research on eye tracking for gaze tracking system. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’10), pp. Schnieders, D., Fu, X., Wong, K.: Reconstruction of display and eyes from a single image. Zhu, Z., Ji, Q.: Eye and Gaze tracking for interactive graphic display. Keywordsĭuchowski, T.: Eye Tracking Methodology: Theory and Practice. Experiments show that this method has significant effect on line of sight calibration. The current parameter is an optimal parameter value dynamically obtained from the matrix in real time and the current region parameter is extracted to obtain the final eye-point placement. For each sub-region, a mapping parameter is calculated respectively to form a parameter matrix. For the error caused by the angle between the optic axis and the optical axis, an improved dynamic adaptive calibration algorithm is proposed, which divides the screen into 3 * 3 sub-regions. Based on the structure of the eyeball model, the influence of corneal curvature of the eyeball on the sight placement error is analyzed. Based on the algorithm of cross-invariant gaze estimation, the traditional gaze-point calibration algorithm is improved. Aiming at the problem of poor robustness of gaze estimation in non-contact gaze tracking system, the gaze tracking system of single-camera multi-light source is improved.
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