Universal opto-electronic measuring modules in distributed measuring systems

Yaryshev, Sergey N.; Konyakhin, Igor A.; Тимофеев, А. Н.

doi:10.1117/12.821251

Cited by 4 publications

(2 citation statements)

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“…Более того, под этим классом оптиче-ских систем подразумевают различные типы систем, построенных на совершенно различных принципах, например, объективы типа «рыбий глаз» и механические сканирующие панорамные системы [1]. Все эти факторы затрудняют их использование в измерительных и наблюдательных телевизионных системах [2][3][4]. Исходя из этого, перед их практическим применением целесообразно произвести преобразование таких изображений к виду, наиболее удобному для практического применения.…”

Section: Introductionunclassified

Method for creation of spherical panoramas from images obtained by omnidirectional optoelectronic systems

Петрович¹,

Стоянов²,

Викторович³

et al. 2016

Naučno-teh. vestn. inf. tehnol. meh. opt.

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Section: Introductionunclassified

Method for creation of spherical panoramas from images obtained by omnidirectional optoelectronic systems

Петрович¹,

Стоянов²,

Викторович³

et al. 2016

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…Всенаправленные оптико-электронные системы находят применение в тех сферах, где критичен большой угол обзора. Однако всенаправленные оптико-электронные системы имеют большую дисторсию, что затрудняет их использование в измерительных и наблюдательных телевизионных системах [1][2][3].…”

Section: Introductionunclassified

Transformation algorithm for images obtained by omnidirectional cameras

Vasiliy¹,

Todor²,

Viktorovich³

et al. 2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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Precision Calibration of Omnidirectional Camera Using a Statistical Approach

Lazarenko¹,

Korotaev

Yaryshev

et al. 2022

Computation

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Omnidirectional optoelectronic systems (OOES) find applications in many areas where a wide viewing angle is crucial. The disadvantage of these systems is the large distortion of the images, which makes it difficult to make wide use of them. The purpose of this study is the development an algorithm for the precision calibration of an omnidirectional camera using a statistical approach. The calibration approach comprises three basic stages. The first stage is the formation of a cloud of points characterizing the view field of the virtual perspective camera. In the second stage, a calibration procedure that provides the projection function for the camera calibration is performed. The projection functions of traditional perspective lenses and omnidirectional wide-angle fisheye lenses with a viewing angle of no less than 180° are compared. The construction of the corrected image is performed in the third stage. The developed algorithm makes it possible to obtain an image for part of the field of view of an OOES by correcting the distortion from the original omnidirectional image.Using the developed algorithm, a non-mechanical pivoting camera based on an omnidirectional camera is implemented. The achieved mean squared error of the reproducing points from the original omnidirectional image onto the image with corrected distortion is less than the size of a very few pixels.

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Universal opto-electronic measuring modules in distributed measuring systems

Cited by 4 publications

References 0 publications

Method for creation of spherical panoramas from images obtained by omnidirectional optoelectronic systems

Method for creation of spherical panoramas from images obtained by omnidirectional optoelectronic systems

Transformation algorithm for images obtained by omnidirectional cameras

Precision Calibration of Omnidirectional Camera Using a Statistical Approach

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