基于计算机视觉的防护眼镜视野测量方法

doi:10.3969/j.issn.1000-1158.2019.05.08

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Abstract In view of the singularity and inefficiency of visual field measurement for protective eyeglasses at present, a visual field measurement method for protective eyeglasses based on computer vision is proposed, and an experimental measurement system is established. A standard head model and two fiber light sources are used to simulate the visual field when the eyes look straight ahead. By comparing the changes of the projection area before and after wearing eyeglasses, the qualification of the visual field of the eyeglasses can be determined quickly. The projection image of the measured eyeglasses is analyzed, then the outline information of the eyeglasses is clustered and extracted. The visual field is calculated according to the angle relationship between the pupil and the eyeglasses. The experimental results show that the method has the characteristics of high efficiency and intelligence compared with traditional methods. It only takes 10 second to determine qualification of the visual field of an eyeglasses. The error analysis of the measurement system is carried out and the final extended uncertainty is U=0.8(k=2). The system meet the practical demand of the visual field detection of protective eyeglasses.

Key words： metrology visual field protective eyeglasses computer vision image processing

Received: 20 July 2018 Published: 01 September 2019

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TB96

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	Articles by authors
	ZHAO Min
	LIU Dan
	LI Yi
	QIAO Wei-dong

Cite this article:

ZHAO Min,LIU Dan,LI Yi, et al. Visual Field Measurement Method for protective eyeglasses based on Computer Vision[J]. Acta Metrologica Sinica, 2019, 40(5): 786-792.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.05.08 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I5/786

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