当利用相位测量轮廓术进行三维物体表面重建时，如果物体表面反射率很大，通过照相机捕获的光栅图像会发生光强度饱和现象，光栅光强度饱和会造成三维重建时的相位误差。对因光栅光强度饱和而导致的相位误差进行研究，并建立每个像素点各帧光强度值的数学模型，提出了一种利用未饱和光强值直接求解相位的新方法。通过仿真和实验分别验证了提出的算法的有效性。仿真结果表明，采用修复算法计算的相位，其误差的均方根值比修复前减小了92.5%；实验中利用该算法求得的相位误差，其均方根值比修复前的相位误差均方根值最多减小了82.8%。

In three-dimensional (3D) scanning via phase measuring profilometry, if there exists saturation in captured patterned images, the accuracy of reconstructed 3D point clouds will be ruined. The phase error caused by saturated pixel values is studied, and a mathematical model for the error is derived. With such a model, a novel algorithm is proposed to minimize the phase error by employing unsaturated pixel values. The proposed method is proved by both simulation and experiment, i.e., analysis of the root mean square error of the corrected phase will show a 92.5% reduction in phase error in simulation, and an 82.8% reduction in phase error in the experiment.