Camera-Projector Calibration - Methods, Influencing Factors and Evaluation Using a Robot and Structured-Light 3D Reconstruction
- As camera and projector hardware gets more and more affordable and software algorithms more sophisticated, the area of application for camera-projector configurations widens its scope. Unlike for sole camera calibration, only few comparative surveys for projector calibration methods exist. Therefore, in this paper, two readily available algorithms for the calibration of those arrays are studied and methods for the evaluation of the results are proposed. Additionally, statistical evaluations under consideration of different influencing factors like the hardware arrangement, the number of input images or the calibration target characteristics on the accuracy of the calibration results are performed. Ground truth comparison data is realized through a robotic system and structured light 3D scanning.
Author: | Jonas Lang, Thomas SchleglORCiD |
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DOI: | https://doi.org/10.1007/978-3-319-43518-3_40 |
ISBN: | 978-3-319-43517-6 |
Parent Title (English): | Intelligent Robotics and Applications |
Publisher: | Springer |
Place of publication: | Cham |
Editor: | Naoyuki Kubota, Kazuo Kiguchi, Honghai Liu, Takenori Obo |
Document Type: | Part of a Book |
Language: | English |
Year of first Publication: | 2016 |
Release Date: | 2022/06/05 |
Tag: | 3D scanning; Evaluation methods; Extrinsic error; Projector-camera calibration; Reconstruction error; Reprojection error; Robotic measurement; Structured light |
Volume: | 9835 |
First Page: | 413 |
Last Page: | 427 |
Konferenzangabe: | International Conference on Intelligent Robotics and Applications (ICIRA 2016) |
Institutes: | Fakultät Maschinenbau |
research focus: | Digitalisierung |
Licence (German): | Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG |