As the rapid progress in the development of optoelectronic components and computational power, 3-D optical metrology becomes more and more popular in manufacturing and quality control due to its flexibility and high speed. However, most of the optical metrology methods are limited to external surfaces. This article proposed a new approach to measure tiny internal 3-D surfaces with a scanning fiber endoscope and axial-stereo vision algorithm. A dense, accurate point cloud of internally machined threads was generated to compare with its corresponding X-ray 3-D data as ground truth, and the quantification was analyzed by Iterative Closest Points algorithm.

中文翻译：

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使用扫描激光内窥镜对管道内部轮廓进行轴向立体 3D 光学计量。

随着光电元件和计算能力发展的快速进步，3D光学计量因其灵活性和高速度而在制造和质量控制中变得越来越流行。然而，大多数光学计量方法仅限于外表面。本文提出了一种使用扫描光纤内窥镜和轴向立体视觉算法测量微小内部 3D 表面的新方法。生成密集、准确的内部加工螺纹点云，与作为地面实况的相应 X 射线 3D 数据进行比较，并通过迭代最近点算法进行量化分析。