Phase unwrapping is a key step of three-dimensional (3D) shape measurement in fringe projection profilometry (FPP). In this paper, 3D quality-guided (3DQG) phase unwrapping algorithm and 3D fast phase unwrapping (3DFPU) algorithm are designed, programmed and applied in the 3D shape measurement of dynamic scenes. Simulated and actual experiments are conducted to compare the performance between the 3D algorithms for 3D wrapped phase in whole and their corresponding two-dimensional (2D) algorithms for 2D wrapped phase frame by frame. The results show that 3D spatial phase unwrapping (SPU) algorithms have higher unwrapping success rate in severely noisy regions and can overcome some discontinuous problems which is truly benefit for the accurate reconstruction of dynamic 3D.

中文翻译：

---

两种用于动态 3D 形状测量的 3D 空间相位展开算法

相位展开是条纹投影轮廓仪 (FPP) 中三维 (3D) 形状测量的关键步骤。在本文中，3D质量引导（3DQG）相位展开算法和3D快速相位展开（3DFPU）算法被设计、编程并应用于动态场景的3D形状测量。进行了模拟和实际实验，以逐帧比较用于整体 3D 包裹相位的 3D 算法与其对应的用于 2D 包裹相位的二维 (2D) 算法之间的性能。结果表明，3D空间相位解缠（SPU）算法在严重噪声区域具有较高的解缠成功率，并且可以克服一些不连续的问题，真正有利于动态3D的精确重建。