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Multispectral calibration to enhance the metrology performance of C-mount camera systems
- Source :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-5, Pp 517-521 (2014)
- Publication Year :
- 2014
- Publisher :
- Copernicus Publications, 2014.
-
Abstract
- Low cost monochrome camera systems based on CMOS sensors and C-mount lenses have been successfully applied to a wide variety of metrology tasks. For high accuracy work such cameras are typically equipped with ring lights to image retro-reflective targets as high contrast image features. Whilst algorithms for target image measurement and lens modelling are highly advanced, including separate RGB channel lens distortion correction, target image circularity compensation and a wide variety of detection and centroiding approaches, less effort has been directed towards optimising physical target image quality by considering optical performance in narrow wavelength bands. This paper describes an initial investigation to assess the effect of wavelength on camera calibration parameters for two different camera bodies and the same ‘C-mount’ wide angle lens. Results demonstrate the expected strong influence on principal distance, radial and tangential distortion, and also highlight possible trends in principal point, orthogonality and affinity parameters which are close to the parameter estimation noise level from the strong convergent self-calibrating image networks.
- Subjects :
- lcsh:Applied optics. Photonics
Channel (digital image)
Image quality
Computer science
Multispectral image
lcsh:Technology
Wide-angle lens
law.invention
Optics
law
Camera auto-calibration
Distortion
Chromatic aberration
Monochrome
Computer vision
business.industry
lcsh:T
Distortion (optics)
lcsh:TA1501-1820
Lens (optics)
Photogrammetry
lcsh:TA1-2040
Computer Science::Computer Vision and Pattern Recognition
Pinhole camera model
RGB color model
Artificial intelligence
business
lcsh:Engineering (General). Civil engineering (General)
Camera resectioning
Subjects
Details
- Language :
- English
- ISSN :
- 21949034 and 16821750
- Database :
- OpenAIRE
- Journal :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....76bbf092958414c1cf6050f0e8adbb2b