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A comparative study on temporal phase unwrapping methods in high-speed fringe projection profilometry

机译:高速边缘投影轮廓测量仪中颞型展开方法的比较研究

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Phase unwrapping, either spatial or temporal, plays an important role in fringe projection profilometry (FPP) to recover a continuous phase map. Compared with the spatial phase unwrapping (SPU), the temporal phase unwrapping (TPU), including multi/two-frequency, phase coding, and gray code methods, is more widely used due to its ability to measure discontinuous objects. However, multiple patterns are required in TPU, which limits the measurement speed and the application of dynamic object measurement. To overcome this problem, different techniques, such as binary defocusing projection, two-plus-one phase-shifting algorithm, geometry/continuity constrained phase unwrapping, and ternary/quaternary gray code phase unwrapping have been proposed and actively studied recently, which either enhance the projection speed or reduce the number of projected patterns. However, there are very few studies on how these techniques affect the accuracy of TPU and which TPU method is most accurate under the scenario of high-speed measurement. This paper compares the accuracy of the two-frequency (TF), phase coding (PC), and gray code (GC) methods with different situations, including the traditional 8-bit focused FPP (aFPP), the high-speed binary defocused FPP (bFPP), and the geometry/continuity constrained binary defocused FPP (cFPP). We classify the phase unwrapping errors caused by system noises into uniformly and non-uniformly distributed errors, and analyze their distributions and rates in different TPU methods and different FPP systems. By comparative simulations and experiments, we find that, for low-frequency phase unwrapping, all the three TPU methods have a good result, while for high-frequency phase unwrapping which is desired in high-quality measurement, GC in aFPP and TF in cFPP provide higher accuracy. Thus, for measurement where accuracy is more concerned than the speed GC in aFPP is preferred, for dynamic measurement where extreme high speed is required, TF in cFPP is suggested.
机译:相位展开,空间或时间,在条纹投影轮廓测定法(FPP)中起重要作用以恢复连续相位图。与空间相位展开(SPU)相比,由于其测量不连续对象的能力,时间相位展开(TPU),包括多/二次频率,相位编码和灰色码方法。然而,TPU中需要多种模式,这限制了测量速度和动态对象测量的应用。为了克服该问题,已经提出了已经提出并在最近提出并积极研究了不同的技术,例如二元散焦投影,两加相移位算法,几何/连续性约束相位展开和三元/四元码码相位展开。投影速度或减少投影模式的数量。然而,关于这些技术如何影响TPU的准确性以及在高速测量的情况下,TPU方法最准确的研究非常少。本文比较两个频率(TF),相位编码(PC)的准确度,和格雷码(GC)不同的情况,包括传统的8位的方法聚焦FPP(AFPP),高速二进制散焦FPP (BFPP)和几何/连续性约束二进制离焦FPP(CFPP)。我们将由系统噪声引起的相位展开错误分类为统一和非均匀分布的错误,并分析其不同TPU方法和不同FPP系统的分布和速率。通过比较仿真和实验,我们发现,对于低频相位展开,所有三种TPU方法都具有良好的结果,而对于高频相未包装,在高质量测量中需要在AFPP和TF中的CFPP中的GC提供更高的准确性。因此,为了测量,在比AFPP中的速度GC更加关注的情况下,对于需要极高的高速的动态测量,提出了CFPP中的TF。

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