Cloud-based metrological-quality camera calibration

Alexey Pak; Andrey Mir

doi:10.1117/12.3001141

11 March 2024 Cloud-based metrological-quality camera calibration

Alexey Pak, Andrey Mir

Proceedings Volume 12893, Photonic Instrumentation Engineering XI; 128930Z (2024) https://doi.org/10.1117/12.3001141
Event: SPIE OPTO, 2024, San Francisco, California, United States

Conference Poster

Abstract

Geometrical calibration is a crucially important step for numerous applications of digital cameras. We decribe an automated cloud-based solution that allows anyone with an Internet connection to calibrate a camera in minutes. The necessary hardware includes only a tripod camera mount, a ruler, and a PC with a flat screen. The user is not expected to command any advanced skills; the procedure involves basic camera operation and simple file manipulations. Upon completion, the user obtains camera parameters as well as multiple detailed reports, characterizing the quality of the input data, the model-to-data consistency, and the expected uncertainties of the calibrated model. In addition to a brief overview of the system architecture and capabilities, this paper focuses on the key part of the method: the processing of input data and the circumvention of automatic “image improvement” mechanisms that are ubiquitous in modern cameras and often cannot be disabled.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Alexey Pak and Andrey Mir "Cloud-based metrological-quality camera calibration", Proc. SPIE 12893, Photonic Instrumentation Engineering XI, 128930Z (11 March 2024); https://doi.org/10.1117/12.3001141

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