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Auto Rack Girders Assembly Holes Measurement Based on Multi-camera Vision

机译:自动架梁组件基于多摄像头视觉的孔测量

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Since single camera's visual field is limited, the measurement method for auto rack girders assembly holes based on multi-group of binocular vision is proposed. The measurement area is divided into several subregions, the measurement data of each subregion is obtained from the binocular vision measurement system, and a larger planar target is used to achieve three-dimensional data registration among adjacent subregion. Since the texture information of truck side-member surface is not abundant, it is difficult to seek the match points on the edge of assembly holes. It is proposed that pasting marked points around the edge of assembly holes for seeking match points. Every two marked points can be connected into one line, and the intersections of the lines and assembly holes' edge are seen as match points. At last, the geometric parameters of spatial circle are fitted according to its geometrical properties. Experimental results show that the matching difficulty will be avoided effectively, the measurement error caused by perspective projection distortion can be reduced, and the method has higher measurement accuracy.
机译:由于单个相机的视野是有限的,提出了基于多组双筒视觉的自动架梁组件孔的测量方法。测量区域被划分为几个子区域,从双目视觉测量系统获得每个子区域的测量数据,并且使用更大的平面目标来实现相邻的子区域之间的三维数据登记。由于卡车侧构件表面的纹理信息不充分,因此难以在装配孔的边缘上寻找匹配点。建议粘贴围绕装配孔边缘的标记点,以寻求匹配点。每两个标记点都可以连接到一行中,线条和装配孔的边缘的交点被视为匹配点。最后,根据其几何特性装配空间圆的几何参数。实验结果表明,匹配难度将有效地避免,可以减少由透视投影失真引起的测量误差,并且该方法具有更高的测量精度。

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