中国光学（中英文）2024，Vol.17Issue(2)：271-277,7.DOI:10.37188/CO.2023-0047
深度相机的测量误差建模及校正
Modeling and correction of measurement errors based on depth cameras
摘要
Abstract
Time of Flight(ToF)depth camera is one of the important means to obtain three-dimensional point cloud data,but ToF depth camera is limited by its own hardware and external environment,and its measure-ment data has certain errors.Aiming at the unsystematic error of ToF depth camera,this paper experiment-ally verifies that the color,distance,and relative motion of the measured target affect the data obtained by the depth camera,and the error effects are different.A new measurement error model is proposed to correct the error caused by color and distance.For the error caused by relative motion,a three-dimensional motion blur function is established to recover it.Through the numerical analysis of the established calibration model,the residual error of distance and color is less than 4 mm,and the error caused by relative motion is less than 0.7 mm.The work done in this paper improves the quality of the measurement data of the ToF depth camera,and provides more accurate data support for 3D point cloud reconstruction and other work.关键词
ToF深度相机/深度误差/误差校正Key words
ToF depth camera/depth error/error correction分类
信息技术与安全科学引用本文复制引用
魏瑞丽,王明军,周熠铭,易芳..深度相机的测量误差建模及校正[J].中国光学（中英文）,2024,17(2):271-277,7.基金项目
国家自然科学基金重大研究计划培育项目(No.92052106) （No.92052106）
国家自然科学基金(No.61771385,No.62101313) （No.61771385,No.62101313）
陕西省杰出青年科学基金(No.2020JC-42)Supported by the National Natural Science Foundation of China(Grant No.92052106,No.61771385,No.62101313)and Shaanxi Province Science Foundation for Distinguished Young Scholars(Grant No.2020JC-42) （No.2020JC-42）
