The striped projection three-dimensional perception technology is widely used in object detection and three-dimensional measurement due to its advantages such as high precision, simple equipment, and dense point clouds. However, when measuring dynamic objects, unknown phase shifts may be introduced due to the different positions of the objects in the striped projection, resulting in motion errors. Based on this, this paper proposes an algorithm based on iterative optimization to reduce motion errors. Firstly, the level of motion error is characterized through the distribution histogram, and a rough localization of the motion offset is conducted within a large interval. Then, two intervals with the smallest error values are found, and a refinement is performed in a smaller region to determine the accurate offset. Experimental results show that the proposed method in this paper improves the accuracy by 83.62% compared with before error compensation when the motion speed is 4.67 mm/s.