Poster + Paper
14 November 2021 Robust stereo infrared camera calibration for 3D depth estimation and measurement
Author Affiliations +
Conference Poster
Abstract
Thermal imaging can be used to characterize heated objects in numerous applications, including security and surveillance, where it is vital to locate an object within a 3D space. This can be achieved with stereoscopic vision, where optical sensors are used to construct a 3D image of the space it is looking at. In order to enhance computer vision research in the thermal modality, stereo thermal-infrared camera calibration must be precise and effective. This research presents a calibration board for thermal stereo vision systems that allows for visual thermal contrast and corner detection within the pattern. In an unstructured and dynamic environment, this thermal stereo vision provides a 3D volumetric measurement for depth estimation of the whole scene within the optical sensors’ combined field of view. Experiments are carried out in the lab, with a mean calibration re-projection error of 0.4 pixel and it is estimated the accuracy of 97.26% at a distance of around 6m for 3D depth measurement.
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Issacniwas Swamidoss, Omar K. Almelhi, Abdulla Alsaadi AlMansoori, Amani Bin Amro, Abdulrahman Almarzooqi, and Slim Sayadi "Robust stereo infrared camera calibration for 3D depth estimation and measurement", Proc. SPIE 11914, SPIE Future Sensing Technologies 2021, 1191419 (14 November 2021); https://doi.org/10.1117/12.2604055
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KEYWORDS
Cameras

Calibration

Stereoscopic cameras

3D modeling

3D metrology

Infrared cameras

Thermography

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