A Case Study of Large-Scale Reconstruction Using 3D Gaussian Splatting for the Setagaya Campus of Tokyo University of Agriculture

Abstract

While wide-area 3D Gaussian Splatting (3DGS) shows promise for scene restoration, current implementations face several challenges. There are few examples of its use, and existing 3DGS tools often have limitations when used on mobile devices, including a restricted restoration range, large data volumes, and lower accuracy. To address these issues, this study employed RealityCapture to align digital SLR camera images and point cloud data acquired from a terrestrial laser scanner. By leveraging these processed results within Postshot, a tool capable of large-scale, GUI-based 3DGS processing, our team successfully and accurately restored the vast Metasequoia Plaza at the Setagaya Campus of Tokyo University of Agriculture.