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

arXiv: https://arxiv.org/abs/2012.02899 · HTML: https://mlsanity.com/paper/2012.02899/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Dec 2020.

## Built on by (most cited first, 1 of 1)

- [Automatic Recognition and Digital Documentation of Cultural Heritage Hemispherical Domes using Images](https://mlsanity.com/paper/2201.10015/) (2022)

## Abstract (arXiv)

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).