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General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(5): 413-418 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.351

Simulation of Human Eye Optical System Properties and Depth of Field Variation

Zilong Wang and Shuangjiu Xiao
Abstract—Human eyes are not perfect optical systems, most of them have refractive errors, the simulation of which is a plus to the realistic vision rendering. This paper presents the simulation of the properties of human eye optical system with an abstracted human eye optical model, including myopia, hyperopia and astigmatism. A novel and effective ray-tracing-based method is brought out in this paper, which calculates the direction of rays refracted by the eye without modeling the surface of the crystalline lens. In order to achieve better simulation results, a circinate-patterned sampling method is proposed, which covers most of the radiation angles and has a distribution similar to Gaussian distribution. The variation of depth of field accompanied by the adjustment of the pupil size in reaction to the luminance of the environment is also simulated.

Index Terms—Ray tracing, myopia, hyperopia, astigmatism, depth of field, human eye optical system.

The authors are with the School of Software, the Shanghai Jiao Tong University, Shanghai, 200240 China (e-mail: zilong@ sjtu.edu.cn, xsjiu99@cs.sjtu.edu.cn).

[PDF]

Cite:Zilong Wang and Shuangjiu Xiao, "Simulation of Human Eye Optical System Properties and Depth of Field Variation," International Journal of Machine Learning and Computing vol.3, no. 5, pp. 413-418, 2013.

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