Colorimetric Compensation in Video Mapping for Luggage Inspection

Maëlan Poyer, Maëlan Poyer, Christophe Hurter

2025

Abstract

Airport luggage inspection agents work under time pressure to identify and localize dangerous items using three-dimensional scans. Video mapping can significantly enhance speed and efficiency by projecting real-time information helping to localize threats to be removed. However, maintaining color fidelity is crucial, as accurate color representation provides key information for decision-making. Previous research has explored color correction techniques for complex surfaces, but these often require extensive calibration, limiting their real-time applicability. Our approach addresses this limitation by using a pre-recorded database to maintain color compensation without the need for frequent recalibration. We built this colorimetric database that records how surfaces with similar textures reflect colors. Using Shepard’s interpolation, our algorithm generalizes the color correction to new surfaces with similar textures, allowing for real-time adjustments without interrupting workflow. This paper aims to lay the foundation for large-scale studies. The results show good performance for hues such as orange but the method’s effectiveness varies across the color spectrum, with limited improvements on blue hues due to predictable losses in luminance and saturation. This highlights the need for new techniques to overcome the physical limitations of projectors.

Paper Citation

in Harvard Style

Poyer M. and Hurter C. (2025). Colorimetric Compensation in Video Mapping for Luggage Inspection. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP; ISBN 978-989-758-728-3, SciTePress, pages 947-954. DOI: 10.5220/0013312200003912

in Bibtex Style

@conference{ivapp25,
author={Maëlan Poyer and Christophe Hurter},
title={Colorimetric Compensation in Video Mapping for Luggage Inspection},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP},
year={2025},
pages={947-954},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013312200003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP
TI - Colorimetric Compensation in Video Mapping for Luggage Inspection
SN - 978-989-758-728-3
AU - Poyer M.
AU - Hurter C.
PY - 2025
SP - 947
EP - 954
DO - 10.5220/0013312200003912
PB - SciTePress