Temporal line-shifting structured light for robust high-precision 3D reconstruction

With the continuous growth of demand for 3D reconstruction technology in the industrial automation field, traditional methods face significant challenges when applied to high-reflectivity and high-dynamic-range environments. Although techniques such as fringe projection profilometry and line laser scanning are widely used, they often suffer from issues like data loss, accuracy degradation, and inefficiency in complex scenarios. To address these challenges, we propose what we believe to be a novel 3D reconstruction method based on temporal line-shifting structured light. This method performs intensity encoding over time for each spatial pixel by projecting a series of binary line-shifting patterns, obtains the temporal center via the temporal grayscale centroid method, and removes periodic ambiguity using complementary Gray codes. This paper further establishes a mapping model between the temporal center and depth to ultimately achieve 3D reconstruction. Experimental results demonstrate that the method has advantages in both accuracy and robustness, particularly demonstrating superior performance in complex environments, and holds significant application prospects in industrial automation inspection.