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A hand-held, high-resolution 3D shape measurement system using structured and unstructured illumination

机译:使用结构化和非结构化照明的手持式高分辨率3D形状测量系统

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摘要

This paper presents a high-resolution 3D shape acquisition method for developing hand-held 3D measurement system by projecting structured and unstructured patterns. The structured patterns consist of three-step phase-shifting fringe patterns, and the phase can be computed pixel by pixel to achieve high-resolution 3D measurement, and the phase-shifting method commonly requires many additional images to implement a phase unwrapping procedure for obtaining absolute phase value and removing the correspondence ambiguity, but it would slow down the measurement speed and limits its applications in fast 3D measurement. To address this problem, an unstructured pattern using random speckle is employed to reject wrong correspondence and promises a correct 3D result. Therefore, only four images are required to reconstruct one 3D point cloud, which is suitable for fast 3D measurement in hand-held systems. Moreover, the proposed method can be speed up by parallel computing technology for real-time data processing. The experiments verify the performance of the proposed method.
机译:本文提出了一种通过投影结构化和非结构化图案来开发手持式3D测量系统的高分辨率3D形状获取方法。结构化图案由三步相移条纹图案组成,可以逐像素计算相位以实现高分辨率3D测量,并且相移方法通常需要许多其他图像来实现相解缠程序以获取绝对相位值并消除了对应的歧义,但这会减慢测量速度并限制其在快速3D测量中的应用。为了解决这个问题,采用了使用随机散斑的非结构化图案来拒绝错误的对应,并保证了正确的3D结果。因此,仅需四张图像即可重建一个3D点云,这适用于手持式系统中的快速3D测量。此外,所提出的方法可以通过并行计算技术来加速实时数据处理。实验验证了该方法的性能。

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