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The 3D scanning system for the machine vision based positioning of workpieces on the CNC machine tools

机译:3D扫描系统,用于基于机器视觉的CNC机床上的工件定位

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In the paper some algorithms applied for the calibration of the 3D scanning system and image analysis in the experimental system for positioning the workpieces on the CNC machines are discussed. The idea of the scanning is based on the application of photogrammetric algorithms using the fringe patterns approach. An experimental system consisting of three cameras and three structural light projectors has been built in order to acquire the images representing the scanned object with projected light patterns. These images are then analyzed in order to obtain the depth information for each point representing the workpiece or the background. Nevertheless, a good accuracy requires a proper calibration of the system considering the distortions introduced by the optics of the cameras and projectors. After the calibration, the acquisition of image series and their analysis, the 3D model of the object, represented as a point cloud, is obtained as the result, which should be filtered and can be fitted into the known model. The results obtained in the conducted experiments have also been compared to the effects of the application of an available commercial system with similar cameras.
机译:在本文中,讨论了一些用于3D扫描系统校准和实验系统中图像分析的算法,这些算法用于在CNC机床上定位工件。扫描的思想是基于使用条纹图案方法的摄影测量算法的应用。已经建立了一个由三个照相机和三个结构性投光器组成的实验系统,以获取代表具有投影光图案的扫描对象的图像。然后分析这些图像,以获得代表工件或背景的每个点的深度信息。但是,要获得良好的精度,就必须考虑到照相机和投影仪的光学系统引入的失真,对系统进行适当的校准。校准后,获取图像系列并进行分析,作为结果获得对象的3D模型(表示为点云),该模型应进行过滤并可以拟合到已知模型中。在进行的实验中获得的结果也已经与使用类似相机的商用系统的应用效果进行了比较。

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