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Sensors 2017, 17(6), 1204; doi:10.3390/s17061204

A New Calibration Method for Commercial RGB-D Sensors

1
Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom 999077, Hong Kong, China
2
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
Shenzhen Key Laboratory of Spatial Smart Sensing and Services & The Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China
*
Author to whom correspondence should be addressed.
Received: 1 March 2017 / Revised: 9 May 2017 / Accepted: 20 May 2017 / Published: 24 May 2017
(This article belongs to the Special Issue Indoor LiDAR/Vision Systems)
View Full-Text   |   Download PDF [3208 KB, uploaded 25 May 2017]   |  

Abstract

Commercial RGB-D sensors such as Kinect and Structure Sensors have been widely used in the game industry, where geometric fidelity is not of utmost importance. For applications in which high quality 3D is required, i.e., 3D building models of centimeter‑level accuracy, accurate and reliable calibrations of these sensors are required. This paper presents a new model for calibrating the depth measurements of RGB-D sensors based on the structured light concept. Additionally, a new automatic method is proposed for the calibration of all RGB-D parameters, including internal calibration parameters for all cameras, the baseline between the infrared and RGB cameras, and the depth error model. When compared with traditional calibration methods, this new model shows a significant improvement in depth precision for both near and far ranges. View Full-Text
Keywords: RGB-D sensors; depth calibration; structure sensor; structured light concept RGB-D sensors; depth calibration; structure sensor; structured light concept
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Darwish, W.; Tang, S.; Li, W.; Chen, W. A New Calibration Method for Commercial RGB-D Sensors. Sensors 2017, 17, 1204.

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