High-speed three-dimensional (3D) shape measurement techniques based on fringe projection profilometry (FPP) have undergone huge advances over the past two decades. However, accurate 3D displacement mapping and deformation analysis of dynamic scenes using FPP remains an unsolved problem. Because fringe patterns are projected rather than attached on the tested surfaces, the full-field point-to-point correspondence cannot be accurately established between any two 3D shape results. To deal with this challenge, a DIC-assisted FPP for high-speed 3D shape, displacement and deformation measurement of textured surfaces is proposed. Firstly, a high-speed 3D shape measurement system is adopted using our recently proposed robust and efficient Gray-coded coding strategy, which can accurately reconstruct full-field shape of discontinuous surfaces with rich texture information. Then, the modulation-based method is proposed to retrieve high-quality texture map from three phase-shifting fringe patterns, which can eliminate the adverse influence of the nonuniform and time-varying ambient light. By matching the retrieved surface texture images at difference states using DIC, accurate point tracking between the measured 3D shape data can be fulfilled, leading to precise 3D displacement and deformation measurement. Experiments have verified that the proposed method can achieve 3D shape, displacement and deformation measurement of dynamic scenes at a frame rate of 542 fps without any extra expense of hardware or calibration for the FPP system. The presented method is reliable and promising for further 3D displacement mapping and deformation analysis of dynamic scenes using FPP.

在过去的二十年中，基于条纹投影轮廓图（FPP）的高速三维（3D）形状测量技术取得了巨大的进步。但是，使用FPP进行动态场景的精确3D位移映射和变形分析仍然是一个未解决的问题。由于条纹图案是投射而不是附着在测试表面上，因此无法在任何两个3D形状结果之间准确建立全场点对点对应关系。为了应对这一挑战，提出了一种DIC辅助的FPP，用于高速3D形状，纹理表面的位移和变形测量。首先，我们采用了我们最近提出的健壮高效的格雷编码策略，采用了高速3D形状测量系统，可以准确地重建具有丰富纹理信息的不连续表面的全场形状。然后，提出了一种基于调制的方法，从三个相移条纹图案中检索出高质量的纹理图，从而消除了环境光的不均匀和时变的不利影响。通过使用DIC在不同状态下匹配检索到的表面纹理图像，可以在测量的3D形状数据之间实现精确的点跟踪，从而实现精确的3D位移和变形测量。实验证明，该方法能够以542 fps的帧速率实现动态场景的3D形状，位移和变形测量，而无需任何额外的硬件开销或FPP系统的校准。