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Machine vision-based method and system for measuring 3D pose of a part or subassembly of parts

机译:基于机器视觉的零件或零件子组件的3D姿态测量方法和系统

摘要

A machine vision-based method and system for measuring 3D pose of a part or subassembly of parts having an unknown pose are disclosed. A number of different applications of the method and system are disclosed including applications which utilize a reprogrammable industrial automation machine such as a robot. The method includes providing a reference cloud of 3D voxels which represent a reference surface of a reference part or subassembly having a known reference pose. Using at least one 2D/3D hybrid sensor, a sample cloud of 3D voxels which represent a corresponding surface of a sample part or subassembly of the same type as the reference part or subassembly is acquired. The sample part or subassembly has an actual pose different from the reference pose. The voxels of the sample and reference clouds are processed utilizing a matching algorithm to determine the pose of the sample part or subassembly.
机译:公开了一种基于机器视觉的方法和系统,用于测量零件或具有未知姿态的零件的子组件的3D姿态。公开了方法和系统的许多不同应用,包括利用诸如机器人的可重编程工业自动化机器的应用。该方法包括提供3D体素的参考云,其代表具有已知参考姿势的参考零件或子组件的参考表面。使用至少一个2D / 3D混合传感器,获取3D体素的样品云,该3D体素表示与参考零件或子组件相同类型的样品零件或子组件的对应表面。样品零件或子组件的实际姿态与参考姿态不同。使用匹配算法处理样品云和参考云的体素,以确定样品零件或子装配体的姿势。

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