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Collinear Constraint based Mobile Vision Coordinate Measurement System

机译:基于共线约束的移动视觉坐标测量系统

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摘要

A fully automatic and rather flexible mobile vision 3D coordinate online measurement system is presented and analyzed. The system is composed of a high resolution CCD camera, retro-reflective feature points, and an external orientation device. The feature points, which fixed on the measured object and external orientation device, are imaged by camera in several locations and orientations. The initial external locations and orientations of the camera relative to the fixed external orientation device are determined by pose estimate algorithm, and the feature points coordinates, i.e. measured points coordinates on the object, are calculated by bundle adjustment algorithm based on collinear constraint. To improve the measurement accuracy, the locations of the imaging feature points are determined by bilinear centroid sub-pixel algorithm. The effectiveness of the proposed system has been tested by experiments.
机译:提出并分析了一种全自动且相当灵活的移动视觉3D坐标在线测量系统。该系统由高分辨率CCD相机,反光特征点和外部定位设备组成。固定在被测物体和外部定向设备上的特征点由摄像机在多个位置和方向上成像。摄像机相对于固定外部定向设备的初始外部位置和方位是通过姿态估计算法确定的,特征点坐标(即物体上的测量点坐标)是通过基于共线约束的束调整算法来计算的。为了提高测量精度,通过双线性质心子像素算法确定成像特征点的位置。所提出的系统的有效性已经通过实验进行了测试。

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