Paper
21 June 2019 Camera calibration method of optical system for large field measurement of hot forgings in heavy industry
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Abstract
During the manufacturing process of heavy forgings, simple contact measuring techniques are still used to check the dimensions, therefore an optical measuring system is in demand. In this paper, a camera calibration method for the passive measuring system, which is being developed in collaboration with an industrial partner, is proposed. Our approach is based on space resection and works with robust coded targets, which are distributed in the field of view. The coordinates of targets are measured using TRITOP (GOM) measuring system. This solution allows to build a large calibration field, without a need of large calibration objects. The camera calibration works in 2 steps - at first, the intrinsic parameters of the camera, including lens distortion, are calibrated. These parameters are considered as stable, due to the use of special camera covers. Multi-image version of the calibration method and dense field of calibration targets are used. The second step is performed from every image and employs a single-image extrinsic camera parameters calibration method. Only a few coded calibration targets, mounted on stable objects in the scene, are required. The calibration method was tested in industrial conditions. The method showed great results, the average reprojection error was under 0.1 px. The effect of thermally affected zone on the calibration process is discussed.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jakub Hurník, Aneta Zatocilová, and David Paloušek "Camera calibration method of optical system for large field measurement of hot forgings in heavy industry", Proc. SPIE 11056, Optical Measurement Systems for Industrial Inspection XI, 1105635 (21 June 2019); https://doi.org/10.1117/12.2527693
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Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Cameras

Distortion

Imaging systems

Content addressable memory

3D acquisition

3D metrology

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