三维压力重构对于压力敏感涂料(PSP)压力测量至关重要。提出了一种结合双目数字图像相关技术的三维压力重构方法，将PSP测量结果逐像素映射到重构的三维点云上，从而实现不依赖被测模型几何参数的三维压力重构。该方法通过在PSP涂层表面制备随机的散斑图案，并使用两台相机同步采集PSP图像。在PSP数据处理中融合互相关分析和双目立体视觉原理，实现被测表面三维压力的精确重构。将该方法成功应用于压气机叶栅表面压力测量，并通过与测压孔数据进行对比分析，PSP数据的相对偏差在1.2%以内。通过将重构得到的三维点云与CAD模型进行比较，进一步验证了测量结果的准确性，平均偏差为0.17mm。

Reconstruction of 3D pressure is crucial for Pressure-Sensitive Paint (PSP) measurements. A method for three-dimensional pressure reconstruction combining binocular digital image correlation technology has been proposed. The PSP measurement results are mapped to the reconstructed three-dimensional point cloud pixel by pixel, so as to realize the three-dimensional pressure reconstruction without relying on the geometric parameters of the meas-ured model. The method involves creating random speckle patterns on the PSP coating surface and using two cameras to synchronously capture PSP images. By integrating cross-correlation analysis and the principles of bin-ocular stereo vision in PSP data processing, precise reconstruction of the 3D pressure on the measured surface is achieved. This method has been successfully applied to the 3D pressure measurement on the surface of a com-pressor cascade, and a comparative analysis with pressure tap data has shown that the relative deviation of the PSP data is within 1.2%. Furthermore, the accuracy of the measurement results has been verified by comparing the reconstructed 3D point cloud with a CAD model, with an average deviation of 0.17mm.