Miniature stereoscopic objective for measuring geometric parameters of poorly accessible technical objects

Batshev, V.I., Machikhin, A.S., Gorevoy, A.V., Khokhlov, D.D., Naumov, A.A.

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Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Батшев В.И., Мачихин А.С., Горевой А.В., Хохлов Д.Д., Наумов А.А. Миниатюрный стереоскопический объектив для измерения геометрических параметров труднодоступных технических объектов // Оптический журнал. 2019. Т. 86. № 6. С. 45–49. http://doi.org/10.17586/1023-5086-2019-86-06-45-49

Batshev V.I., Machikhin A.S., Gorevoy A.V., Khokhlov D.D., Naumov A.A. Miniature stereoscopic objective for measuring geometric parameters of poorly accessible technical objects [in Russian] // Opticheskii Zhurnal. 2019. V. 86. № 6. P. 45–49. http://doi.org/10.17586/1023-5086-2019-86-06-45-49

For citation (Journal of Optical Technology):

V. I. Batshev, A. S. Machikhin, A. V. Gorevoĭ, D. D. Khokhlov, and A. A. Naumov, "Miniature stereoscopic objective for measuring geometric parameters of poorly accessible technical objects," Journal of Optical Technology. 86(6), 362-366 (2019). https://doi.org/10.1364/JOT.86.000362

Abstract:

We discuss the problem of performing nonintrusive measurements to determine the geometric parameters of poorly accessible objects. An optical system with a compact prism–lens objective was developed for simultaneously imaging a target object from two different points of view on a single detector array. A prototype of the proposed system was also constructed. The resulting optical system was experimentally confirmed to have high image quality. The shape of the test surface can be stereoscopically reconstructed via digital processing of the images, including high-accuracy determination of the geometric parameters of the surface. The results described here may have applications in machine vision, nondestructive testing, and other areas.

Keywords:

stereoscopic objective, geometric measurements, nondestructive testing, machine vision

Acknowledgements:

The research was supported by the Russian Science Foundation (17-19-01355).

OCIS codes: 080.3620, 110.6880, 150.3040, 150.6910

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