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March 12, 2026Journal of the Japan society of photogrammetry and remote sensing0 citationsOpen Access

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

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RKRihito KUMAZAKIRFRyo FujiwaraYKYoichi KUNII

Key Points

  • The aim is to demonstrate effective scene restoration using 3D Gaussian Splatting for a large campus area.
  • Utilized RealityCapture for image alignment from digital SLR cameras and point cloud data.
  • Employed terrestrial laser scanning to gather precise spatial information.
  • Processed the collected data in Postshot for GUI-based 3D Gaussian Splatting.
  • Focused on large-scale restoration of Metasequoia Plaza.
  • Achieved accurate restoration of the Metasequoia Plaza using processed data.
  • Overcame common limitations of 3D Gaussian Splatting, such as range and accuracy issues.
  • Demonstrated successful application of methods on a mobile device platform.

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.

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Cite This Study

KUMAZAKI et al. (2025) studied this question.

synapsesocial.com/papers/69b25b7196eeacc4fceca2fbhttps://doi.org/10.4287/jsprs.64.58
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