3D reconstruction study of motion blur non-coded targets based on the iterative relaxation method

Abstract Achieving high-quality three-dimensional (3D) reconstruction has been a challenging problem due to factors such as motion blur. In this article, we first construct a mathematical model of an iterative relaxation method in reconstructing images, including iterative method and relaxation method. Then, the iterative image derivation model with relaxation factors is constructed by introducing relaxation factors. Next, a motion blur model based on the iterative relaxation method is proposed and combined with the 3D reconstruction method of non-coding points. Finally, the 3D reconstruction in some real scenes is carried out using the motion blur non-coded target 3D reconstruction method based on the iterative relaxation method with error analysis. The results show that the reconstruction accuracy under the optimized path has been improved by two orders of magnitude compared with that under the initial path, and the reconstruction error is basically maintained at about 0.042 mm, with the maximum not exceeding 0.05 mm. This indicates that the proposed method can effectively reduce the reconstruction error and achieve a high reconstruction accuracy. The motion blur non-coded target 3D reconstruction method based on the iterative relaxation method proposed in this article has certain practicality and promotion value.