High-Fidelity 3D Seafloor Scene Reconstruction Based on Cross-dimensional Gaussian Normal Transition Field

The demand for high-fidelity seafloor scene reconstruction is growing in fields such as marine scientific surveying and underwater environmental exploration. As an advanced explicit scene representation method, three-dimensional(3D) Gaussian Splatting holds significant application potential for seafloor reconstruction and novel view synthesis. However, influenced by factors such as blurring effects caused by underwater imaging media, the results often exhibit defects including medium-induced artifacts and structural distortions, severely limiting the applicability of this technique in real-world complex underwater environments. To address these challenges, the paper proposed a high-fidelity 3D seafloor scene reconstruction method based on a cross-dimensional Gaussian normal transition field. In this method, a cross-dimensional mapping and normal transition system for Gaussian primitives was constructed, enabling fine-grained geometric modeling of complex structures. A Gaussian opacity-weighted filtering model was then presented to suppress reconstruction artifacts caused by medium-induced blurring effects. Experimental results on various underwater scenes demonstrate the proposed method’s capability to efficiently reconstruct complex underwater scenes and synthesize novel views.