High-precision real-time 3D shape measurement using a bi-frequency scheme and multi-view system

结构光三维扫描仪 计算机科学 投影(关系代数) 准确度和精密度 相(物质) 光学 帧速率 计量系统 人工智能 帧(网络) 轮廓仪 计算机视觉 算法 物理 电信 表面粗糙度 天文 量子力学 扫描仪
作者
Tianyang Tao,Qian Chen,Shijie Feng,Yan Hu,Jian Da,Chao Zuo
出处
期刊:Applied optics [The Optical Society]
卷期号:56 (13): 3646-3646 被引量:51
标识
DOI:10.1364/ao.56.003646
摘要

High-speed and high-precision 3D shape measurement plays a central role in diverse applications such as automatic online inspection, robotics control, and human-computer interaction. Conventional multi-frame phase-shifting-based fringe projection profilometry techniques face inherent trade-offs between the speed and measurement precision, which are fundamentally limited by the fringe density and extra pattern projections used for de-ambiguity of fringe orders. Increasing the frequency of the projection fringes can obviously improve the measurement precision; however, it creates difficulties in the subsequent phase unwrapping. For this reason, to date, the frequency of the fringes in typical real-time 3D shape measurement techniques is generally less than 30 to guarantee a reasonable reliability of phase unwrapping. To overcome this limitation, a bi-frequency phase-shifting technique based on a multi-view fringe projection system is proposed, which significantly enhances the measurement precision without compromising the measurement speed. Based on the geometric constraints in a multi-view system, the unwrapped phase of the low-frequency (10-period) fringes can be obtained directly, which serves as a reference to unwrap the high-frequency phase map with a total number of periods of up to 160. Besides, the proposed scheme with 10-period and 160-period fringes is suitable for slightly defocusing projection, allowing a higher projection rate and measurement speed. Experiments on both static and dynamic scenes are performed, verifying that our method can achieve high-speed and high-precision 3D measurement at 300 frames per second with a precision of about 50 μm.

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