The 3D Reconstruction of Disordered Incremental Sparse Point Clouds for Ship Traveling Wave of CFD Numerical Simulation

At present, the precision verification of free-form surface 3D reconstruction remains a challenge within the realm of available technology. Moreover, auxiliary techniques for 3D reconstruction, such as staining and projection, are fraught with limitations. This paper presents a novel 3D reconstruction method for studying ship traveling wave using disordered incremental sparse point clouds. The method uses a stereo vision multi-view algorithm to reconstruct the ship traveling wave in three dimensions, leveraging data obtained through a physical engine and a viscous CFD numerical simulation. The results demonstrate that the method can accurately reconstruct the 3D shape of ship traveling wave and validate the accuracy of the reconstruction results by comparing the reconstructed point cloud data with CFD numerical simulation results. The results highlight the potential of this method for analyzing the dynamic behavior of fluid structures and for studying the effects of various environmental conditions on ships and other fluid structures. This method combines physical simulation and stereo vision multi-view disordered incremental sparse point cloud reconstruction algorithm, which enables accurate and efficient 3D reconstruction of fluid structures.