作　　者： (潘燕）; (张伟）; (赵雨）; (楼向明）;

机构地区： 中国计量大学机电工程学院,浙江杭州310018

出　　处： 《自动化仪表》 2017年第9期48-52,共5页

摘　　要： 为了精确、快速、高效地标定线结构光传感器参数,提出了一种线结构光传感器参数现场标定方法。根据摄像机标定方法,并结合L-M非线性优化算法对摄像机内外参数及镜头畸变系数进行标定。拍摄不同姿态下的平面靶标图像,利用靶标图像计算摄像机外参计算靶标上的圆点在摄像机坐标系下的三维坐标,并构建靶标平面方程。将激光线投射到不同姿态的靶标平面上,通过靶标平面方程计算出激光线上点在摄像机坐标系下的3D坐标,由不同位置重构出激光点在摄像机坐标系下的3D坐标来完成光平面参数标定。通过对摄像机参数、畸变系数和光平面参数的标定,重构目标物体进行测试。测量结果表明:该算法能够快速、准确地获取小车车体的三维坐标,并构造出车体的三维模型。该方法适用于大视场的工业现场标定。 To calibrate the parameter of light sensor with line structure accurately and promptly and efficiently, an on - site calibration method is proposed. Based on the camera calibration method, and combining with L - M nonlinear optimization algorithm, the internal and external parameters and the distortion coefficient of the camera are calibrated. Shooting the images of the plane target under different attitude, and using the target image to calculate the external parameters of the camera, then through the external parameter, the 3D coordinates of the point on the target in the coordinate system of camera are calculated,to construct the plane equation. The laser line is projected onto the target plane of different attitude,then through target plane equation,the 3D coordinates of the point on laser line in the coordinate system of camera calculated,from different positions to reconstruct the 3D coordinates of the laser points in camera coordinate system, to complete the light plane calibration. Through the calibration of the camera parameters and distortion coefficient and light plane parameters of the tested object will be used for the reconstruction and simulation of car body measurement. The test results show that the 3D coordinates of the car can be precisely obtained by the algorithm and construct the 3D model of the car. The algorithm can be applied to the on - site calibration in large field of view.

关 键 词： 传感器 标定 非线性优化 畸变 光平面