TY - GEN
T1 - Towards a Multispectral RGB-IR-UV-D Vision System - Seeing the Invisible in 3D
AU - Zhang, Tanhao
AU - Hu, Luyin
AU - Li, Lu
AU - Navarro-Alarcon, David
N1 - Funding Information:
This work is supported in part by the Research Grants Council of Hong Kong under grant 15212721, in part by the Jiangsu Industrial Technology Research Institute Collaborative Research Program Scheme under grant ZG9V, and in part by the Chinese National Engineering Research Centre for Steel Construction Hong Kong Branch under grant BBV8.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85128171519&partnerID=8YFLogxK
U2 - 10.1109/ROBIO54168.2021.9739218
DO - 10.1109/ROBIO54168.2021.9739218
M3 - Conference article published in proceeding or book
AN - SCOPUS:85128171519
T3 - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
SP - 1723
EP - 1728
BT - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
Y2 - 27 December 2021 through 31 December 2021
ER -