影视数字资产的智能构建:基于Multi-SLAM+3DGS技术的三维数字重建方案研究OA

As film and television production increasingly evolves towards virtualization,real-time processing,and spatial in-telligence,traditional 3D digital reconstruction and content generation workflows are straining to meet the demands of preci-sion,efficiency,and usability.This paper focuses on multi-source sensor fusion SLAM(Multi-SLAM)and 3D Gaussian Splatting(3DGS)technologies,then elaborates on the technical characteristics and advantages of the approach combining Multi-SLAM with 3DGS,regarding spatial geometry capture,modeling quality,reconstruction efficiency,and industrial adaptability.Through empirical comparisons with vision-only 3DGS workflows utilizing mirrorless and panoramic cameras,this study validates the universality and superiority of this approach across diverse cinematic scenarios.Furthermore,it constructs an intelligent,integrated solution tailored for film production,driving a seamless reality-to-digital transformation from physical spaces to 3D digital assets.Experimental results demonstrate that Multi-SLAM and 3DGS-based reconstruc-tion achieves higher efficiency,superior model quality,and enhanced robustness across both indoor and outdoor scenes.This solution holds the potential to significantly elevate overall production efficiency and asset quality,providing an efficient and reliable technical pathway for virtual production,VFX,and virtual reality movies.