Tan Ji, Su Wenqing, He Zhaoshui, Bai Yulei, Dong Bo, Xie Shengli
Opt Lett. 2022 Jul 15;47(14):3387-3390. doi: 10.1364/OL.461663.
Intensity saturation is a challenging problem in structured light 3D shape measurement. Most of the existing methods achieve high dynamic range (HDR) measurement by sacrificing measurement speed, making them limited in high-speed dynamic applications. This Letter proposes a generic efficient saturation-induced phase error correction method for HDR measurement without increasing any fringe patterns. We first theoretically analyze the saturated signal model and deduce the periodic characteristic of saturation-induced phase error. Based on this, we specially design a saturation-induced phase error correction method by joint Fourier analysis and Hilbert transform. Furthermore, the relationship among phase error, saturation degree, and number of phase-shifting steps is established by numerical simulation. Since the proposed method requires no extra captured images or complicated intensity calibration, it is extremely convenient in implementation and is applicable to performing high-speed 3D shape measurements. Simulations and experiments verify the feasibility of the proposed method.
强度饱和是结构光三维形状测量中的一个具有挑战性的问题。现有的大多数方法通过牺牲测量速度来实现高动态范围(HDR)测量,这使得它们在高速动态应用中受到限制。本文提出了一种通用的高效饱和诱导相位误差校正方法,用于在不增加任何条纹图案的情况下进行HDR测量。我们首先从理论上分析了饱和信号模型,并推导了饱和诱导相位误差的周期性特征。在此基础上,我们通过联合傅里叶分析和希尔伯特变换专门设计了一种饱和诱导相位误差校正方法。此外,通过数值模拟建立了相位误差、饱和度和相移步数之间的关系。由于所提出的方法不需要额外的采集图像或复杂的强度校准,因此在实现上极其方便,适用于进行高速三维形状测量。仿真和实验验证了该方法的可行性。