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Multiple views merging from different cameras in fringe-projection based phase-shifting method

机译:基于条纹投影的相移方法中来自不同摄像机的多视图合并

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摘要

This paper discusses issues related to accurate measurement using multiple cameras with phase-shifting techniques. Phase-shifting methods have been widely used in industrial inspections due to high accuracy and excellent tolerance to surface finish. But so far, most such systems use only one camera. In our applications to inspect manufactured part with complex shapes, one camera cannot capture the whole surface because of occlusions, double bounced light, and the limited dynamic range of cameras. Multiple cameras have to be used and the data from different cameras must be merged together. Because different cameras have individual error sources when a part is to be measured, it is a challenge to obtain the same shape, in the same 3D coordinates system from all cameras without data manipulation such as iterative registration. This paper addresses this challenge of data registration. The error sources are analyzed and demonstrated and several paths for error reduction are presented. Experiment results show the significant improvement obtained.
机译:本文讨论与使用具有相移技术的多台摄像机进行精确测量有关的问题。相移法由于具有很高的精度和对表面光洁度的优异耐受性而已广泛用于工业检查。但是到目前为止,大多数此类系统仅使用一台摄像机。在我们用于检查具有复杂形状的制造零件的应用程序中,一台摄像机由于遮挡,双反射光以及摄像机的动态范围有限而无法捕获整个表面。必须使用多个摄像机,并且来自不同摄像机的数据必须合并在一起。由于在测量零件时,不同的相机具有不同的误差源,因此要在没有数据操作(例如迭代配准)的情况下,从所有相机以相同的3D坐标系获得相同的形状是一个挑战。本文解决了数据注册的挑战。对错误源进行了分析和演示,并提出了减少错误的几种途径。实验结果表明获得了明显的改善。

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