Due to color object surface interference, the distortion of captured sinusoidal fringe patterns in a colorful object measurement using fringe projection profilometry causes significant phase error and therefore shape measurement error. To address the problem, an intensity correction method is proposed to correct the acquired nonsinusoidal fringe of color object and aim to improve three-dimensional (3D) reconstruction accuracy. In this paper, first, the look-up tables (LUTs) and multi-fusion matrices (MFM) are established; secondly, finding the optimal indexing value to correct the color fringe pattern for improving recognition rates and sine; finally, the corrected pattern is separated into three phase-shifting fringe patterns, which can obtain demodulation phase by the three-step phase-shifting algorithm and then recover unwrapping phase. The simulation and experimental results demonstrate that the proposed method effectively reduces the phase error of color objects and achieves complete measurement of different color regions.

由于彩色物体表面的干扰，在使用条纹投影轮廓测量的彩色物体测量中捕获的正弦条纹图案的失真会导致显着的相位误差，从而导致形状测量误差。针对该问题，提出了一种强度校正方法来校正获取的彩色对象的非正弦条纹，旨在提高三维（3D）重建精度。本文首先建立了查找表（LUTs）和多融合矩阵（MFM）；其次，找到最佳的索引值来校正彩色条纹图案，以提高识别率和正弦值；最后，将校正后的图案分离为三个移相条纹图案，通过三步移相算法获得解调相位，然后恢复展开相位。