A Corneal Parameter Estimation Method Based on the Minimum Error Method

Zhang Zhengzheng; Zhang Guosheng; Chi Jiannan

doi:doi:10.11648/j.si.20180604.15

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A Corneal Parameter Estimation Method Based on the Minimum Error Method

Zhang Zhengzheng, Zhang Guosheng, Chi Jiannan

Received: 19 July 2018 Accepted: Published: 20 July 2018

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Abstract

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.

DOI	10.11648/j.si.20180604.15
Published in	Science Innovation (Volume 6, Issue 4, August 2018)
Page(s)	201-208
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Curvature Center of Cornea, Estimation of Corneal Parameters, Visual Axis Reconstruction

References

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[8]	Amir A, Zimet L, Sangiovanni-Vincentelli A, et al. An embedded system for an eye-detection sensor[J]. Computer Vision & Image Understanding, 2005, 98(1):104-123.
[9]	Cornsweet T N, Crane H D. Accurate two-dimensional eye tracker using first and fourth Purkinje images.[J]. Journal of the Optical Society of America, 1973, 63(8):921.
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[11]	Chen J, Ji Q. A probabilistic approach to online eye gaze tracking without explicit personal calibration[J]. IEEE Trans Image Process, 2015, 24(3):1076-1086.
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APA Style

Zhang Zhengzheng, Zhang Guosheng, Chi Jiannan. (2018). A Corneal Parameter Estimation Method Based on the Minimum Error Method. Science Innovation, 6(4), 201-208. https://doi.org/10.11648/j.si.20180604.15

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ACS Style

Zhang Zhengzheng; Zhang Guosheng; Chi Jiannan. A Corneal Parameter Estimation Method Based on the Minimum Error Method. Sci. Innov. 2018, 6(4), 201-208. doi: 10.11648/j.si.20180604.15

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AMA Style

Zhang Zhengzheng, Zhang Guosheng, Chi Jiannan. A Corneal Parameter Estimation Method Based on the Minimum Error Method. Sci Innov. 2018;6(4):201-208. doi: 10.11648/j.si.20180604.15

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@article{10.11648/j.si.20180604.15,
  author = {Zhang Zhengzheng and Zhang Guosheng and Chi Jiannan},
  title = {A Corneal Parameter Estimation Method Based on the Minimum Error Method},
  journal = {Science Innovation},
  volume = {6},
  number = {4},
  pages = {201-208},
  doi = {10.11648/j.si.20180604.15},
  url = {https://doi.org/10.11648/j.si.20180604.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20180604.15},
  abstract = {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.},
 year = {2018}
}

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TY  - JOUR
T1  - A Corneal Parameter Estimation Method Based on the Minimum Error Method
AU  - Zhang Zhengzheng
AU  - Zhang Guosheng
AU  - Chi Jiannan
Y1  - 2018/07/20
PY  - 2018
N1  - https://doi.org/10.11648/j.si.20180604.15
DO  - 10.11648/j.si.20180604.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 201
EP  - 208
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20180604.15
AB  - 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.
VL  - 6
IS  - 4
ER  -

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Author Information

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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APA Style

Zhang Zhengzheng, Zhang Guosheng, Chi Jiannan. (2018). A Corneal Parameter Estimation Method Based on the Minimum Error Method. Science Innovation, 6(4), 201-208. https://doi.org/10.11648/j.si.20180604.15

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ACS Style

Zhang Zhengzheng; Zhang Guosheng; Chi Jiannan. A Corneal Parameter Estimation Method Based on the Minimum Error Method. Sci. Innov. 2018, 6(4), 201-208. doi: 10.11648/j.si.20180604.15

Copy | Download

AMA Style

Zhang Zhengzheng, Zhang Guosheng, Chi Jiannan. A Corneal Parameter Estimation Method Based on the Minimum Error Method. Sci Innov. 2018;6(4):201-208. doi: 10.11648/j.si.20180604.15

Copy | Download

@article{10.11648/j.si.20180604.15,
  author = {Zhang Zhengzheng and Zhang Guosheng and Chi Jiannan},
  title = {A Corneal Parameter Estimation Method Based on the Minimum Error Method},
  journal = {Science Innovation},
  volume = {6},
  number = {4},
  pages = {201-208},
  doi = {10.11648/j.si.20180604.15},
  url = {https://doi.org/10.11648/j.si.20180604.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20180604.15},
  abstract = {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.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - A Corneal Parameter Estimation Method Based on the Minimum Error Method
AU  - Zhang Zhengzheng
AU  - Zhang Guosheng
AU  - Chi Jiannan
Y1  - 2018/07/20
PY  - 2018
N1  - https://doi.org/10.11648/j.si.20180604.15
DO  - 10.11648/j.si.20180604.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 201
EP  - 208
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20180604.15
AB  - 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.
VL  - 6
IS  - 4
ER  -

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