Contribution to the standardization of 3D measurements using a high-resolution PMD camera

Henrik Lietz, Jörg Eberhardt
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Abstract

Three-dimensional image acquisition is still a growing field in optical metrology. Various methods are available to reconstruct an object’s three-dimensional surface. The five main types of 3D cameras are stereo cameras, triangulation (pattern or laser scanning), interferometry, light-field cameras and ToF (time-of-flight) cameras. PMD (photonic mixing device) cameras measure the time of light, and thus belong to the field of ToF cameras. Each camera type has fields of application for which it is particularly well suited. Even within PMD cameras, there is a distinction made between applications for indoor and outdoor use. Until today, there is no method to measure and characterize 3D cameras uniformly. Desirable would be a method, which is able to measure all types of cameras equally. With this work, we want to contribute to the standardization of 3D cameras. In this case, we use a PMD camera for outdoor applications with relatively large pixels. It is shown how to determine the spatial resolution of a PMD camera from both, the amplitude and the distance image. Further, a novel method is presented how to determine the resolution enhancement in an image via gradient image evaluation. Finally, a method is proposed which evaluates the quality of resolution enhancement, when no ground truth data is available. Both are particularly interesting for the use of super-resolution (SR) applications.
使用高分辨率PMD相机对3D测量标准化做出贡献
三维图像采集在光学计量学中仍然是一个新兴的领域。重建物体三维表面的方法多种多样。五种主要的3D相机类型是立体相机、三角测量(模式或激光扫描)、干涉测量、光场相机和ToF(飞行时间)相机。PMD(光子混合装置)相机测量光的时间,因此属于ToF相机领域。每种相机类型都有特别适合的应用领域。即使在PMD相机中,室内和室外使用的应用程序之间也有区别。直到今天,还没有方法可以统一地测量和表征3D相机。理想的是一种方法,它能够平等地测量所有类型的相机。通过这项工作,我们希望为3D相机的标准化做出贡献。在这种情况下,我们将PMD相机用于具有相对较大像素的户外应用。展示了如何从幅值和距离图像两方面确定PMD相机的空间分辨率。在此基础上,提出了一种通过梯度图像评估来确定图像分辨率增强的新方法。最后,提出了一种在无真值情况下评价分辨率增强质量的方法。对于使用超分辨率(SR)应用程序,这两种方法都特别有趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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