Accurate calibration of stereo cameras for machine vision
Camera calibration is an important task for machine vision, whose goal is to obtain the internal and external parameters of each camera. With these parameters, the 3D positions of a scene point, which is identified and matched in two stereo images, can be determined by the triangulation theory. This...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2004-10-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/893 |
| _version_ | 1818449209535234048 |
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| author | Liangfu Li Zuren Feng Yuanjing Feng |
| author_facet | Liangfu Li Zuren Feng Yuanjing Feng |
| author_sort | Liangfu Li |
| collection | DOAJ |
| description | Camera calibration is an important task for machine vision, whose goal is to obtain the internal and external parameters of each camera. With these parameters, the 3D positions of a scene point, which is identified and matched in two stereo images, can be determined by the triangulation theory. This paper presents a new accurate estimation of CCD camera parameters for machine vision. We present a fast technique to estimate the camera center with special arrangement of calibration target and the camera model is aimed at efficient computation of camera parameters considering lens distortion. Built on strict geometry constraint, our calibration method has compensated the error for distortion cased by circular features on calibration target, which gets over the relativity influence of every unknown parameters of traditional calibration way and make the error distributed among the constraint relation of parameters, in order to guarantee the accuracy and consistency of calibration results. Experimental results are provided to show that the calibration accuracy is high. |
| first_indexed | 2024-12-14T20:31:46Z |
| format | Article |
| id | doaj.art-d7a1d94b6e5f4d6db749aa4e4b80b33a |
| institution | Directory Open Access Journal |
| issn | 1666-6046 1666-6038 |
| language | English |
| last_indexed | 2024-12-14T20:31:46Z |
| publishDate | 2004-10-01 |
| publisher | Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata |
| record_format | Article |
| series | Journal of Computer Science and Technology |
| spelling | doaj.art-d7a1d94b6e5f4d6db749aa4e4b80b33a2022-12-21T22:48:31ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382004-10-01403147151587Accurate calibration of stereo cameras for machine visionLiangfu Li0Zuren Feng1Yuanjing Feng2Institute of System Engineering, Xi’an Jiaotong University, Xi’an, ShanXi Province, ChinaInstitute of System Engineering, Xi’an Jiaotong University, Xi’an, ShanXi Province, ChinaInstitute of System Engineering, Xi’an Jiaotong University, Xi’an, ShanXi Province, ChinaCamera calibration is an important task for machine vision, whose goal is to obtain the internal and external parameters of each camera. With these parameters, the 3D positions of a scene point, which is identified and matched in two stereo images, can be determined by the triangulation theory. This paper presents a new accurate estimation of CCD camera parameters for machine vision. We present a fast technique to estimate the camera center with special arrangement of calibration target and the camera model is aimed at efficient computation of camera parameters considering lens distortion. Built on strict geometry constraint, our calibration method has compensated the error for distortion cased by circular features on calibration target, which gets over the relativity influence of every unknown parameters of traditional calibration way and make the error distributed among the constraint relation of parameters, in order to guarantee the accuracy and consistency of calibration results. Experimental results are provided to show that the calibration accuracy is high.https://journal.info.unlp.edu.ar/JCST/article/view/893calibrationcameraparametervisionmeasurement |
| spellingShingle | Liangfu Li Zuren Feng Yuanjing Feng Accurate calibration of stereo cameras for machine vision Journal of Computer Science and Technology calibration camera parameter vision measurement |
| title | Accurate calibration of stereo cameras for machine vision |
| title_full | Accurate calibration of stereo cameras for machine vision |
| title_fullStr | Accurate calibration of stereo cameras for machine vision |
| title_full_unstemmed | Accurate calibration of stereo cameras for machine vision |
| title_short | Accurate calibration of stereo cameras for machine vision |
| title_sort | accurate calibration of stereo cameras for machine vision |
| topic | calibration camera parameter vision measurement |
| url | https://journal.info.unlp.edu.ar/JCST/article/view/893 |
| work_keys_str_mv | AT liangfuli accuratecalibrationofstereocamerasformachinevision AT zurenfeng accuratecalibrationofstereocamerasformachinevision AT yuanjingfeng accuratecalibrationofstereocamerasformachinevision |