1 September 2009 Improved rotation-based self-calibration with a strategy of rotational angles
Canlin Li, Jiajie Lu, Lizhuang Ma
Author Affiliations +
Abstract
Purely rotation-based self-calibration receives the most attention among various self-calibration methods, owing to its algorithmic simplicity. However, it is actually impossible to ensure that the camera motion for this kind of self-calibration is a pure rotation, since the rotation center should-but unfortunately may never-completely coincide with the optical center with an unknown position. Almost all conventional pure rotation methods tend to ignore any translation, so the significant errors of calibration results could be inevitably introduced. We propose a practical and effective approach to improve the purely rotation-based self-calibration approach. The proposed approach accounts for translational offsets. According to the fact that the rotational angles between camera orientations have a very strong impact on the calibration errors from the translations, we compute the relative camera orientations prior to calibrating, then use different and very appropriate strategies for self-calibration in different angle circumstances, to achieve better calibration results. Both synthetic data and real data are used to test the proposed approach and very good results are obtained. Comparing the experimental results with those of conventional methods, the proposed approach significantly yields higher accuracy, and therefore reduces the calibration errors by the translations.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Canlin Li, Jiajie Lu, and Lizhuang Ma "Improved rotation-based self-calibration with a strategy of rotational angles," Optical Engineering 48(9), 097202 (1 September 2009). https://doi.org/10.1117/1.3231505
Published: 1 September 2009
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Calibration

Cameras

Shape memory alloys

Error analysis

Lithium

Image filtering

Lutetium

RELATED CONTENT

Comparison between two axial stereovision systems
Proceedings of SPIE (November 01 1990)

Back to Top