校准
曲面(拓扑)
结构光
坐标系
光学
平面(几何)
点(几何)
半径
像素
点云
光轴
共面性
圆柱坐标系
同轴
计量系统
计算机科学
方向(向量空间)
正常
人工智能
摄像机切除
计算机视觉
像面
物理
几何学
坐标测量机
束流调整
正交坐标
戒指(化学)
量具(枪械)
笛卡尔坐标系
激光器
摄像机自动校准
数学
几何造型
观测误差
职位(财务)
作者
Huifu Du,Daguo Yu,Lingling Cui
标识
DOI:10.1088/1361-6501/ae0e8e
摘要
Abstract Addressing the issues of complex calibration processes, limited accuracy, and reliance on high-precision calibration objects in the calibration of circular structured light measurement systems for deep hole precision measurement, this study proposes a light plane calibration method based on monocular vision and geometric constraints to achieve high-precision mapping from two-dimensional pixel coordinates to three-dimensional contour point clouds. The study uses a two-step alignment strategy to complete the coaxial alignment of the camera optical axis and the ring gauge axis by combining calibration plate pose feedback with visual alignment technology based on ellipticity criteria. The optical plane equation is constructed based on the geometric constraint relationship between the two-dimensional pixel coordinates and the inner hole of the ring gauge, and the three-dimensional coordinate calculation is converted into a single-variable depth parameter optimization problem. With the help of the optical plane normal vector, an orthogonal basis is constructed to achieve local coordinate conversion and radius solution of the cross-section point cloud in the camera coordinate system. The results of the ring gauge inner diameter measurement experiment show that the maximum error is 0.005 mm, the standard deviation is 0.003 mm, and the average relative error is 0.008%. This method significantly improves the operability and engineering applicability of the system and provides a reliable technical solution for the efficient and precise inspection of deep hole parts.
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