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首页> 外文期刊>Journal of Microscopy >Method for 3D fibre reconstruction on a microrobotic platform
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Method for 3D fibre reconstruction on a microrobotic platform

机译:在微机器人平台上进行3D纤维重建的方法

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Automated handling of a natural fibrous object requires a method for acquiring the three-dimensional geometry of the object, because its dimensions cannot be known beforehand. This paper presents a method for calculating the three-dimensional reconstruction of a paper fibre on a microrobotic platform that contains two microscope cameras. The method is based on detecting curvature changes in the fibre centreline, and using them as the corresponding points between the different views of the images. We test the developed method with four fibre samples and compare the results with the references measured with an X-ray microtomography device. We rotate the samples through 16 different orientations on the platform and calculate the three-dimensional reconstruction to test the repeatability of the algorithm and its sensitivity to the orientation of the sample. We also test the noise sensitivity of the algorithm, and record the mismatch rate of the correspondences provided. We use the iterative closest point algorithm to align the measured three-dimensional reconstructions with the references. The average point-to-point distances between the reconstructed fibre centrelines and the references are 20-30 m, and the mismatch rate is low. Given the manipulation tolerance, this shows that the method is well suited to automated fibre grasping. This has also been demonstrated with actual grasping experiments.
机译:天然纤维物体的自动处理需要一种用于获取物体的三维几何形状的方法,因为其尺寸事先无法得知。本文提出了一种在包含两个显微镜相机的微机器人平台上计算纸纤维的三维重构的方法。该方法基于检测光纤中心线的曲率变化,并将其用作图像不同视图之间的对应点。我们用四种纤维样品测试了开发的方法,并将结果与​​用X射线显微断层扫描仪测量的参考值进行了比较。我们通过平台上的16个不同方向旋转样本,并计算三维重构,以测试算法的可重复性及其对样本方向的敏感性。我们还测试了算法的噪声敏感性,并记录了提供的对应关系的失配率。我们使用迭代最近点算法将测得的三维重构与参考对齐。重建的光纤中心线与参考点之间的平均点对点距离为20-30 m,并且失配率很低。给定操作公差,这表明该方法非常适合自动抓纤维。实际的抓握实验也证明了这一点。

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