Darwish Walid, Tang Shenjun, Li Wenbin, Chen Wu
Department of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom 999077, Hong Kong, China.
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.
Sensors (Basel). 2017 May 24;17(6):1204. doi: 10.3390/s17061204.
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.
诸如Kinect和Structure Sensors等商用RGB-D传感器已在游戏行业中广泛使用,在该行业中几何保真度并非至关重要。对于需要高质量3D的应用,即厘米级精度的3D建筑模型,需要对这些传感器进行准确可靠的校准。本文提出了一种基于结构光概念校准RGB-D传感器深度测量的新模型。此外,还提出了一种新的自动方法,用于校准所有RGB-D参数,包括所有相机的内部校准参数、红外相机和RGB相机之间的基线以及深度误差模型。与传统校准方法相比,这种新模型在近程和远程的深度精度方面都有显著提高。