Dynamic 3D shape measurement based on the phase-shifting moire algorithm

Canlin Zhou, Shuchun Si, Xiaolei Li
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Abstract

Structured-lighting projection methods are the important parts of the optical three-dimensional (3D) measurement. Phase-shifting profilometry has a higher accuracy,however it requires multiple phase-shifting sinusoidal patterns’ projection,it can only be used for static measurement. The 3D shape measurement of dynamic objects is a challenging issue and attracts many scholars’ attention. The single frame 3D reconstruction technique (such as the Fourier transform, color-encoded or composite coded grating method and single frame Moire retrieval method) can meet the requirements of dynamic measurement well since only one-frame deformed pattern is required to obtain the 3D information of the object, but there are still issues in the stability and accuracy when using these methods. Recently, Wang et. al. [26] presented a high-speed Moire-based phase retrieval method. However, it is used only to measure the thin objects. Inspired by reference 27, we combined phase-shifting, moire algorithm and reconstruction algorithm of complex Fast Fourier Transform (FFT), proposed a dynamic three-dimensional (3D) measurement based on four-step phase-shifting Moire algorithm. Only one fringe pattern of the object was required to reconstruct the 3D shape of the tested object after the four fringe patterns with a π /2 phase shift of the reference plane were captured in advance. Only a single Fourier transform of a complex fringe composed of two multiplexed fringe patterns is calculated,the calculation time of the inverse 2D FFT is decreased due to the smaller calculated data matrix. First, four sinusoidal fringe patterns with a π/2 phase-shift are projected on the reference plane and acquired four deformed fringe patterns of the reference plane. Then single-shot deformed fringe pattern of the tested object is captured in measurement process. Four Moire fringe patterns can be obtained by numerical multiplication between the the AC component of the object pattern and the alternating components(AC) of the reference patterns respectively. The four low-frequency components corresponding to the Moire fringe patterns are calculated by the complex encoding FT (Fourier transform) ,spectrum filtering and inverse FT. Thus the four phase-shifting Moire fringe patterns can be retrieved. Then the wrapped phase of the object can be determined in the tangent form from the four phase shifting Moire fringe patterns using the four-step phase shifting algorithm.The continuous phase distribution can be obtained by the phase unwrapping algorithm.The 3D shape distribution can be reconstructed according to the phase-to height mapping relation after the calibration of the system. Finally, experiments are conducted to prove the validity of the proposed method. The results demonstrate that our method not only can expand the measurement scope, but also can improve accuracy and speed.
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基于相移云纹算法的动态三维形状测量
结构照明投影法是光学三维测量的重要组成部分。相移轮廓法具有较高的精度,但它需要多个相移正弦图形的投影,只能用于静态测量。动态物体的三维形状测量是一个具有挑战性的问题,受到许多学者的关注。单帧三维重建技术(如傅里叶变换、彩色编码或复合编码光栅法、单帧云纹检索法)可以很好地满足动态测量的要求,因为只需要一帧变形的图案就可以获得物体的三维信息,但使用这些方法在稳定性和精度上仍然存在问题。最近,Wang等人提出了一种基于云纹的高速相位检索方法。然而,它仅用于测量较薄的物体。受文献27的启发,我们结合相移、云纹算法和复快速傅里叶变换(FFT)的重建算法,提出了一种基于四步相移云纹算法的动态三维测量方法。在预先捕获参考平面相移为π /2的4个条纹图后,只需要一个条纹图就可以重建被测物体的三维形状。该方法只计算由两个多路条纹图组成的复条纹的单次傅里叶变换,由于计算的数据矩阵较小,减少了二维反FFT的计算时间。首先,在参考平面上投影4个相移为π/2的正弦条纹图,得到参考平面的4个形变条纹图。然后在测量过程中捕获被测物体的单镜头形变条纹图。通过将目标图案的交流分量与参考图案的交流分量分别进行数值相乘,可以得到四种云纹图案。通过复编码傅立叶变换、频谱滤波和反傅立叶变换计算出云纹条纹图对应的4个低频分量,从而得到4个相移云纹图。然后利用四步移相算法从四幅相移云纹条纹图中以切线形式确定被包裹物体的相位。通过相位展开算法可以得到连续的相位分布。系统标定后,可根据相位-高度映射关系重建三维形状分布。最后,通过实验验证了所提方法的有效性。结果表明,该方法不仅扩大了测量范围,而且提高了测量精度和速度。
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