Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera

This paper focuses on the calibration problem using stereo camera images. Currently, advanced vehicle systems such as smart cars and mobile robots require accurate and reliable vision in order to detect obstacles and special marks around. Such modern vehicles can be equipped with sensors and cameras...

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Main Authors: Jonguk Kim, Hyansu Bae, Suk Gyu Lee
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/3/339
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spelling doaj-7131b42d27bf46aca854c377ae6dfebe2021-02-02T00:05:41ZengMDPI AGElectronics2079-92922021-02-011033933910.3390/electronics10030339Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo CameraJonguk Kim0Hyansu Bae1Suk Gyu Lee2Korea Polytechnic VII, Changwon-si 51518, KoreaKorea Electrotechnology Research Institute, Changwon-si 51543, Gyeongsangnam-do, KoreaDepartment of Electrical Engineering, Yeungnam University, Gyeongsan, Gyeongbuk 38541, KoreaThis paper focuses on the calibration problem using stereo camera images. Currently, advanced vehicle systems such as smart cars and mobile robots require accurate and reliable vision in order to detect obstacles and special marks around. Such modern vehicles can be equipped with sensors and cameras together or separately. In this study, we propose new methodologies of stereo camera calibration based on the correction of distortion and image rectification. Once the calibration is complete, the validation of the corrections is presented followed by an evaluation of the calibration process. Usually, the validation section is not jointly considered with the calibration in other studies. However, the mass production of cameras widely uses the validation techniques in calibrations owned by manufacturing businesses. Here, we aim to present a single process for the calibration and validation of stereo cameras. The experiment results showed the disparity maps in comparison with another study and proved that the proposed calibration methods can be efficient.https://www.mdpi.com/2079-9292/10/3/339camera calibrationstereo cameracalibration board
collection DOAJ
language English
format Article
sources DOAJ
author Jonguk Kim
Hyansu Bae
Suk Gyu Lee
spellingShingle Jonguk Kim
Hyansu Bae
Suk Gyu Lee
Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera
Electronics
camera calibration
stereo camera
calibration board
author_facet Jonguk Kim
Hyansu Bae
Suk Gyu Lee
author_sort Jonguk Kim
title Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera
title_short Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera
title_full Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera
title_fullStr Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera
title_full_unstemmed Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera
title_sort image distortion and rectification calibration algorithms and validation technique for a stereo camera
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2021-02-01
description This paper focuses on the calibration problem using stereo camera images. Currently, advanced vehicle systems such as smart cars and mobile robots require accurate and reliable vision in order to detect obstacles and special marks around. Such modern vehicles can be equipped with sensors and cameras together or separately. In this study, we propose new methodologies of stereo camera calibration based on the correction of distortion and image rectification. Once the calibration is complete, the validation of the corrections is presented followed by an evaluation of the calibration process. Usually, the validation section is not jointly considered with the calibration in other studies. However, the mass production of cameras widely uses the validation techniques in calibrations owned by manufacturing businesses. Here, we aim to present a single process for the calibration and validation of stereo cameras. The experiment results showed the disparity maps in comparison with another study and proved that the proposed calibration methods can be efficient.
topic camera calibration
stereo camera
calibration board
url https://www.mdpi.com/2079-9292/10/3/339
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AT sukgyulee imagedistortionandrectificationcalibrationalgorithmsandvalidationtechniqueforastereocamera
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