2020/12/04 by Reza Maalek, Derek D. Lichti, Derek Lichti
Computer Science · Engineering · #Advanced Vision and Imaging #Image Processing Techniques and Applications #Optical measurement and interference techniques #cs.CG #cs.CV
paper · pdf · doi:10.1111/phor.12364
arxiv created 2020/12/04 · openalex created_date 2020/12/21 · arxiv updated 2021/05/03 · crossref issued 2021/06/01 · crossref published 2021/06/01 · crossref published-print 2021/06/01 · openalex publication_date 2021/06/01 · crossref published-online 2021/06/06 · crossref created 2021/06/06 · crossref deposited 2023/08/30 · crossref indexed 2026/07/25 · openalex updated_date 2026/07/29
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).