A Corneal Parameter Estimation Method Based on the Minimum Error Method
Volume 6, Issue 4, August 2018, Pages: 201-208
Received: Jul. 19, 2018;
Published: Jul. 20, 2018
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Zhang Zhengzheng, School of Automation and Electrical Engineering, University of Science and Technology, Beijing, PRC
Zhang Guosheng, Ministry of Transport of the People's Republic of China, Key Laboratory of Operation Safety Technology on Transport Vehicle Beijing, Beijing, PRC
Chi Jiannan, School of Automation and Electrical Engineering, University of Science and Technology, Beijing, PRC
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In order to solve the problem of high calibration precision in the existing estimation model of corneal parameters, a method of corneal parameter estimation based on minimum error method is proposed in this paper. First, a single camera and dual light source system is built to get the human eye image. And then the center points of the Purkinje spots can be located from the image. The coordinates of the center points is used as the input parameter of the model. Then the radius of the cornea is estimated and substituted into the corneal estimation model. Finally, the center of corneal curvature can be obtained according to the constraint condition. Experimental results show that this method has high precision and strong robustness.
Curvature Center of Cornea, Estimation of Corneal Parameters, Visual Axis Reconstruction
To cite this article
A Corneal Parameter Estimation Method Based on the Minimum Error Method, Science Innovation.
Vol. 6, No. 4,
2018, pp. 201-208.