A Method of Camera Calibration Based on Kriging Interpolation

The basis of visual measurement is camera calibration. In the traditional calibration method, the radial and tangential distortion models usually are adopted. Because of the randomness of lens distortion, the above fixed form distortion model cannot accurately express the distortion distribution. To...

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Autores principales:	Chuang Liu, Qiucheng Sun, Weiyu Dai, Zeming Ren, Qingliang Li, Fanhua Yu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Camera calibration distortion model kriging interpolation Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/04b5ac8900c04ddda32fff5d44263299
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id	oai:doaj.org-article:04b5ac8900c04ddda32fff5d44263299
record_format	dspace
spelling	oai:doaj.org-article:04b5ac8900c04ddda32fff5d442632992021-11-24T00:03:17ZA Method of Camera Calibration Based on Kriging Interpolation2169-353610.1109/ACCESS.2021.3127221https://doaj.org/article/04b5ac8900c04ddda32fff5d442632992021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9611041/https://doaj.org/toc/2169-3536The basis of visual measurement is camera calibration. In the traditional calibration method, the radial and tangential distortion models usually are adopted. Because of the randomness of lens distortion, the above fixed form distortion model cannot accurately express the distortion distribution. To solve the above problems, a calibration method with a new distortion model is presented in the paper. First, an exact linear model is obtained, using only the corner coordinates of the image center region; then, using this model, the projection deviation of all corner points in the pixel plane can be obtained, that is, the point cloud of projection deviation distribution; finally, the Kriging interpolation method is used to obtain a continuous projection deviation distribution function which can accurately express lens distortion in the pixel plane. Using this function and the corresponding linear model, all two-dimensional image points can be accurately projected into three-dimensional space. To compare with the traditional method, the mean error of projection and measurement error are calculated in the experiment, and the experimental results show that the calibration method is more accurate and more suitable for measuring requirements.Chuang LiuQiucheng SunWeiyu DaiZeming RenQingliang LiFanhua YuIEEEarticleCamera calibrationdistortion modelkriging interpolationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153540-153547 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Camera calibration distortion model kriging interpolation Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Camera calibration distortion model kriging interpolation Electrical engineering. Electronics. Nuclear engineering TK1-9971 Chuang Liu Qiucheng Sun Weiyu Dai Zeming Ren Qingliang Li Fanhua Yu A Method of Camera Calibration Based on Kriging Interpolation
description	The basis of visual measurement is camera calibration. In the traditional calibration method, the radial and tangential distortion models usually are adopted. Because of the randomness of lens distortion, the above fixed form distortion model cannot accurately express the distortion distribution. To solve the above problems, a calibration method with a new distortion model is presented in the paper. First, an exact linear model is obtained, using only the corner coordinates of the image center region; then, using this model, the projection deviation of all corner points in the pixel plane can be obtained, that is, the point cloud of projection deviation distribution; finally, the Kriging interpolation method is used to obtain a continuous projection deviation distribution function which can accurately express lens distortion in the pixel plane. Using this function and the corresponding linear model, all two-dimensional image points can be accurately projected into three-dimensional space. To compare with the traditional method, the mean error of projection and measurement error are calculated in the experiment, and the experimental results show that the calibration method is more accurate and more suitable for measuring requirements.
format	article
author	Chuang Liu Qiucheng Sun Weiyu Dai Zeming Ren Qingliang Li Fanhua Yu
author_facet	Chuang Liu Qiucheng Sun Weiyu Dai Zeming Ren Qingliang Li Fanhua Yu
author_sort	Chuang Liu
title	A Method of Camera Calibration Based on Kriging Interpolation
title_short	A Method of Camera Calibration Based on Kriging Interpolation
title_full	A Method of Camera Calibration Based on Kriging Interpolation
title_fullStr	A Method of Camera Calibration Based on Kriging Interpolation
title_full_unstemmed	A Method of Camera Calibration Based on Kriging Interpolation
title_sort	method of camera calibration based on kriging interpolation
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/04b5ac8900c04ddda32fff5d44263299
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A Method of Camera Calibration Based on Kriging Interpolation

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