A Light Source Calibration Technique for Multi-camera Inspection Devices

Mara Pistellato, Mauro Noris, Andrea Albarelli, Filippo Bergamasco

2022

Abstract

Industrial manufacturing processes often involve a visual control system to detect possible product defects during production. Such inspection devices usually include one or more cameras and several light sources designed to highlight surface imperfections under different illumination conditions (e.g. bumps, scratches, holes). In such scenarios, a preliminary calibration procedure of each component is a mandatory step to recover the system’s geometrical configuration and thus ensure a good process accuracy. In this paper we propose a procedure to estimate the position of each light source with respect to a camera network using an inexpensive Lambertian spherical target. For each light source, the target is acquired at different positions from different cameras, and an initial guess of the corresponding light vector is recovered from the analysis of the collected intensity isocurves. Then, an energy minimization process based on the Lambertian shading model refines the result for a precise 3D localization. We tested our approach in an industrial setup, performing extensive experiments on synthetic and real-world data to demonstrate the accuracy of the proposed approach.

Paper Citation

in Harvard Style

Pistellato M., Noris M., Albarelli A. and Bergamasco F. (2022). A Light Source Calibration Technique for Multi-camera Inspection Devices. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 488-494. DOI: 10.5220/0010995900003122

in Bibtex Style

@conference{icpram22,
author={Mara Pistellato and Mauro Noris and Andrea Albarelli and Filippo Bergamasco},
title={A Light Source Calibration Technique for Multi-camera Inspection Devices},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={488-494},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010995900003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - A Light Source Calibration Technique for Multi-camera Inspection Devices
SN - 978-989-758-549-4
AU - Pistellato M.
AU - Noris M.
AU - Albarelli A.
AU - Bergamasco F.
PY - 2022
SP - 488
EP - 494
DO - 10.5220/0010995900003122