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Robust phase-shifting algorithms designed for high-dynamic range in fringe-projection profilometry

机译:坚固的相移算法,用于在边缘投影轮廓测定中的高动态范围

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Phase-shifting algorithms (PSAs) are usually derived for static or quasi-static conditions, where the temporal phase step is the only significant variation expected between successive frames. When these assumptions are valid, choosing the right algorithm often translates into faster acquisition times or robustness against systematic errors (such as detuning, random noise, and distorting harmonics). In practice, however, one may need to cope with dynamic conditions that require more complex phase-demodulation approaches. In this work, we present a PSA designed for robust quadrature filtering assuming temporal variations of the background and contrast functions. The frequency transfer function (FTF) formalism allows us to design its spectral response and to assess its robustness against systematic errors. This procedure is conceptually and computationally easy to generalize for many-step algorithms. Finally, a work-in-progress application for high-dynamic range (HDR) in fringe-projection profilometry is presented as proof of concept.
机译:相移算法(PSAS)通常导出用于静态或准静态条件,其中时间相位步骤是连续帧之间的唯一显着的变化。当这些假设有效时,选择正确的算法通常转化为更快的采集时间或鲁棒性,而是针对系统错误的鲁棒性(例如静止,随机噪声和崩溃谐波)。然而,在实践中,可能需要应对需要更复杂的相位解调方法的动态条件。在这项工作中,我们介绍了一个专为强大的正交滤波设计的PSA,假设背景和对比度函数的时间变化。频率传递函数(FTF)形式主义使我们能够设计光谱响应并评估其对系统错误的鲁棒性。此过程在概念上和计算地易于概括到许多步骤算法。最后,将在边缘投影轮廓测量仪中的高动态范围(HDR)的过程中应用程序作为概念证明。

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