针对大尺寸三维物体的测量需求，提出了一种超大尺度的线结构光传感器标定方法。使用平面靶标标定出摄像机内参数的初值，以相邻两控制点之间的距离为约束用LM 优化算法对初值进行优化；采用准一维靶标进行结构光参数标定，提出了一种利用两行标记点求解控制点三维坐标的方法，该方法基于消隐点性质以及各控制点与标记点之间的几何约束。实验结果表明，所提出的标定方法和控制点三维坐标求解方法具有较高的精度和稳定性，且准一维靶标较平面靶标加工成本低、加工难度小、标定过程灵活方便，更适用于大尺度现场标定。

A calibration method for line structured light sensor with large scale is proposed for the requirement of large-size three-dimensional (3D) objects measurement.The initial values of camera intrinsic parameters are calibrated by planar target and optimized by Levenberg-Marquardt (LM) method based on the distance constrain between two adjacent control points. When calibrating structured light parameters using Quasi-one-dimensional target,a calculation method is proposed for solving the 3D coordinates of control points, which is based on the property of vanishing point and the geometric restrain between control points and coded points. The experimental results show that the proposed approach for calibrating the sensor and solving the 3D coordinates of control points can achieve good accuracy and stability,moreover, compared with the planar target, quasi-one-dimensional target has lower processing costs, can be used for calibration with more flexibility, and is more suitable for large scale field calibration.