The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Single View Point Omnidirectional Camera Calibration from Planar Grids
Open accessAbstract
This paper presents a flexible approach for calibrating omnidirectional single viewpoint sensors from planar grids. These sensors are increasingly used in robotics where accurate calibration is often a prerequisite. Current approaches in the field are either based on theoretical properties and do not take into account important factors such as misalignment or camera-lens distortion or over-parametrised which leads to minimisation problems that are difficult to solve. Recent techniques based on polynomial approximations lead to impractical calibration methods. Our model is based on an exact theoretical projection function to which we add well identified parameters to model real-world errors. This leads to a full methodology from the initialisation of the intrinsic parameters to the general calibration. We also discuss the validity of the approach for fish-eye and spherical models. An implementation of the method is available as OpenSource software on the author's Web page. We validate the approach with the calibration of parabolic, hyperbolic, folded mirror, wide-angle and spherical sensors.
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Cites
Flexible camera calibration by viewing a plane from unknown orientations
Zhang, Z. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.791289 · Cited by 2,610
A four-step camera calibration procedure with implicit image correction
Heikkila, J., & Silven, O. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609468 · Cited by 2,051
Camera calibration with distortion models and accuracy evaluation
Weng, J., Cohen, P., & Herniou, M. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.159901 · Cited by 1,757
Simultaneous linear estimation of multiple view geometry and lens distortion
Fitzgibbon, A. W. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990465 · Cited by 545
A Unifying Theory for Central Panoramic Systems and Practical Implications
Geyer, C., & Daniilidis, K. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-45053-x_29 · Cited by 502
A toolbox for easily calibrating omnidirectional cameras
Scaramuzza, D., Martinelli, A., & Siegwart, R. (2006) · doi:10.3929/ethz-a-005704721 · Cited by 405
A Generic Concept for Camera Calibration
Sturm, P., & Ramalingam, S. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24671-8_1 · Cited by 187
Can We Consider Central Catadioptric Cameras and Fisheye Cameras within a Unified Imaging Model
Ying, X., & Hu, Z. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24670-1_34 · Cited by 168
A new algorithm to correct fish-eye- and strong wide-angle-lens-distortion from single images
Bräuer-Burchardt, C., & Voss, K. (2002) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2001.958994 · Cited by 141
Issues on the geometry of central catadioptric image formation
Barreto, J. P., & Araújo, H. J. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2001.990992 · Cited by 141
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Qin, T., Li, P., & Shen, S. (2018) · IEEE Transactions on Robotics · doi:10.1109/tro.2018.2853729 · Cited by 4,669
M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots
Yin, J., Li, A., Li, T., Yu, W., & Zou, D. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3138527 · Cited by 299
Omnidirectional 3D reconstruction in augmented Manhattan worlds
Schonbein, M., & Geiger, A. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2014.6942637 · Cited by 63
An Enhanced Unified Camera Model
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Metadata
- Authors
- Mei, C., & Rives, P.
- Venue
- Proceedings 2007 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE
- Published
- 2007-04
- Pages
- 3945-3950
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2144042618
- Cited by
- 441
- References
- 11
- FWCI
- 16.70
- Type
- conference paper
- Language
- en
- Open access
- green
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- Mei, C., & Rives, P. (2007). Single View Point Omnidirectional Camera Calibration from Planar Grids. Proceedings 2007 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.2007.364084
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
