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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