一种采用结构光测量机械零件的高动态范围、高精度框架

T. Nguyen, T. Tran, Mai Nguyen, T. Pham
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引用次数: 1

摘要

在这项研究中,我们提出了一个使用3D扫描技术进行工业测量的框架。直到最近,具有光滑表面的金属部件仍然是3D扫描仪中低动态范围CMOS传感器的一大挑战。有几种方法通过减少扫描时间或增加系统复杂性来部分解决这个问题。不幸的是,这些方法挫败了结构光扫描的“低成本”和“快速”优势。在我们的框架中,我们采用了几种策略,例如:利用智能编码方案获得更好的信噪比,动态调整投影仪以减少反射光,利用多个摄像头和定制算法缩短处理时间。因此,我们的设置大大提高了测量质量,同时只产生了很小的时间和金钱成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high dynamic range, high precision framework for measuring machinery part using structured light
In this research, we present a framework for industrial measurement using 3D scanning technology. Until recently, metal parts with glossy surfaces still pose a big challenge for low dynamic range CMOS sensor in 3D scanner. Several approaches have partially solved this problem either by trading off scanning time or by increasing system's complexity. Unfortunately, these methods defeat the “low cost” and “fast” advantages of structured light scanning. In our framework, we employ several strategies such as: utilize smart encoding schemes for better signal-to-noise ratio, dynamically adjust the projector to minimize specular light, utilize multiple cameras and customized algorithms to shorten processing time. As a result, our setup greatly improves measurement quality while only incur a small time and monetary cost.
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