Extrinsic Camera Calibration with Line-Laser Projection

Knowledge of precise camera poses is vital for multi-camera setups. Camera intrinsics can be obtained for each camera separately in lab conditions. For fixed multi-camera setups, the extrinsic calibration can only be done in situ. Usually, some markers are used, like checkerboards, requiring some le...

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Main Authors: Izaak Van Crombrugge, Rudi Penne, Steve Vanlanduit
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/4/1091
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spelling doaj-dae1dbd8554c4d17b4070106f480faf82021-02-06T00:01:35ZengMDPI AGSensors1424-82202021-02-01211091109110.3390/s21041091Extrinsic Camera Calibration with Line-Laser ProjectionIzaak Van Crombrugge0Rudi Penne1Steve Vanlanduit2Faculty of Applied Engineering Department Electromechanics, Universiteit Antwerpen, Groenenborgerlaan 171, 2020 Antwerpen, BelgiumFaculty of Applied Engineering Department Electromechanics, Universiteit Antwerpen, Groenenborgerlaan 171, 2020 Antwerpen, BelgiumFaculty of Applied Engineering Department Electromechanics, Universiteit Antwerpen, Groenenborgerlaan 171, 2020 Antwerpen, BelgiumKnowledge of precise camera poses is vital for multi-camera setups. Camera intrinsics can be obtained for each camera separately in lab conditions. For fixed multi-camera setups, the extrinsic calibration can only be done in situ. Usually, some markers are used, like checkerboards, requiring some level of overlap between cameras. In this work, we propose a method for cases with little or no overlap. Laser lines are projected on a plane (e.g., floor or wall) using a laser line projector. The pose of the plane and cameras is then optimized using bundle adjustment to match the lines seen by the cameras. To find the extrinsic calibration, only a partial overlap between the laser lines and the field of view of the cameras is needed. Real-world experiments were conducted both with and without overlapping fields of view, resulting in rotation errors below 0.5°. We show that the accuracy is comparable to other state-of-the-art methods while offering a more practical procedure. The method can also be used in large-scale applications and can be fully automated.https://www.mdpi.com/1424-8220/21/4/1091camera calibrationmulti-cameraextrinsic calibrationnon-overlapfield of view
collection DOAJ
language English
format Article
sources DOAJ
author Izaak Van Crombrugge
Rudi Penne
Steve Vanlanduit
spellingShingle Izaak Van Crombrugge
Rudi Penne
Steve Vanlanduit
Extrinsic Camera Calibration with Line-Laser Projection
Sensors
camera calibration
multi-camera
extrinsic calibration
non-overlap
field of view
author_facet Izaak Van Crombrugge
Rudi Penne
Steve Vanlanduit
author_sort Izaak Van Crombrugge
title Extrinsic Camera Calibration with Line-Laser Projection
title_short Extrinsic Camera Calibration with Line-Laser Projection
title_full Extrinsic Camera Calibration with Line-Laser Projection
title_fullStr Extrinsic Camera Calibration with Line-Laser Projection
title_full_unstemmed Extrinsic Camera Calibration with Line-Laser Projection
title_sort extrinsic camera calibration with line-laser projection
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-02-01
description Knowledge of precise camera poses is vital for multi-camera setups. Camera intrinsics can be obtained for each camera separately in lab conditions. For fixed multi-camera setups, the extrinsic calibration can only be done in situ. Usually, some markers are used, like checkerboards, requiring some level of overlap between cameras. In this work, we propose a method for cases with little or no overlap. Laser lines are projected on a plane (e.g., floor or wall) using a laser line projector. The pose of the plane and cameras is then optimized using bundle adjustment to match the lines seen by the cameras. To find the extrinsic calibration, only a partial overlap between the laser lines and the field of view of the cameras is needed. Real-world experiments were conducted both with and without overlapping fields of view, resulting in rotation errors below 0.5°. We show that the accuracy is comparable to other state-of-the-art methods while offering a more practical procedure. The method can also be used in large-scale applications and can be fully automated.
topic camera calibration
multi-camera
extrinsic calibration
non-overlap
field of view
url https://www.mdpi.com/1424-8220/21/4/1091
work_keys_str_mv AT izaakvancrombrugge extrinsiccameracalibrationwithlinelaserprojection
AT rudipenne extrinsiccameracalibrationwithlinelaserprojection
AT stevevanlanduit extrinsiccameracalibrationwithlinelaserprojection
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