In this paper, we present the development of a sensing system with the capability to compute multispectral point clouds in real-time. The proposed multi-eye sensor system effectively registers information from the visible, (long-wave) infrared, and ultraviolet spectrum to its depth sensing frame, thus enabling to measure a wider range of surface features that are otherwise hidden to the naked eye. For that, we designed a new cross-calibration apparatus that produces consistent features which can be sensed by each of the cameras, therefore, acting as a multispectral "chessboard". The performance of the sensor is evaluated with two different cases of studies, where we show that the proposed system can detect "hidden" features of a 3D environment.
@article{arxiv.2108.08494,
title = {Towards a Multispectral RGB-IR-UV-D Vision System -- Seeing the Invisible in 3D},
author = {Tanhao Zhang and Luyin Hu and Lu Li and David Navarro-Alarcon},
journal= {arXiv preprint arXiv:2108.08494},
year = {2021}
}