Automated Calibration of Mobile Cameras for 3D Reconstruction of Mechanical Pipes

• URL: http://arxiv.org/abs/2012.02899v1
• Date: Fri, 4 Dec 2020 23:41:25 GMT
• Title: Automated Calibration of Mobile Cameras for 3D Reconstruction of Mechanical Pipes
• Authors: Reza Maalek and Derek Lichti
• Abstract summary: This manuscript provides a new framework for calibration of optical instruments, in particular mobile cameras, using large-scale circular black and white target fields. New methods were introduced for (i) matching targets between images; (ii) adjusting the systematic error of target centers; and (iii) iteratively improving the calibration solution through a free-network self-calibrating bundle adjustment.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This manuscript provides a new framework for calibration of optical instruments, in particular mobile cameras, using large-scale circular black and white target fields. New methods were introduced for (i) matching targets between images; (ii) adjusting the systematic eccentricity error of target centers; and (iii) iteratively improving the calibration solution through a free-network self-calibrating bundle adjustment. It was observed that the proposed target matching effectively matched circular targets in 270 mobile phone images from a complete calibration laboratory with robustness to Type II errors. The proposed eccentricity adjustment, which requires only camera projective matrices from two views, behaved synonymous to available closed-form solutions, which require several additional object space target information a priori. Finally, specifically for the case of the mobile devices, the calibration parameters obtained using our framework was found superior compared to in-situ calibration for estimating the 3D reconstructed radius of a mechanical pipe (approximately 45% improvement).

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