Three-Dimensional Imaging Method of High-Reflective Objects Based on Structured Light

In order to improve the accuracy of three-dimensional reconstructed high-reflective surfaces, a phase fusion algorithm is proposed based on binary phase-shifting encoding. The phase error caused by the intensity saturation is analyzed and detected based on the periodicity and symmetry of the binary phase-shifting projection patterns. The research results demonstrate that, compared with the saturation error detection method based on the illumination intensity estimation, the proposed method can more accurately detect the areas with saturation phase errors. Compared with the result before correction, the root mean square error of the corrected phase shows a 95.7% reduction in the saturation phase errors and a 96.1% reduction in the maximum phase error. Compared with the traditional detection methods, the root mean square value of the replaced saturation phase error is reduced by 16.7% when fewer measurement groups arc used. The results show that the proposed method can effectively reconstruct the surface profile of high reflective objects. The proposed method doesn't need nonlinear correction, and is of strong anti-noise ability.