東京農業大学世田谷キャンパスを対象とした広域「3D Gaussian Splatting」による復元事例(小特集 3D Gaussian Splattingの活用事例)

• 資料種別: 記事
• タイトル: 東京農業大学世田谷キャンパスを対象とした広域「3D Gaussian Splatting」による復元事例
• 著者・編者: 熊崎 理仁; 藤原 龍; 國井 洋一
• シリーズタイトル: 小特集 3D Gaussian Splattingの活用事例
• 著者標目: 熊崎 理仁; 藤原 龍; 國井 洋一
• 並列タイトル等: A Case Study of Large-Scale Reconstruction Using 3D Gaussian Splatting for the Setagaya Campus of Tokyo University of Agriculture
• タイトル（掲載誌）: 写真測量とリモートセンシング = Journal of the Japan Society of Photogrammetry and Remote Sensing
• 巻号年月日等（掲載誌）: 64(3):2025
• 掲載巻: 64
• 掲載号: 3
• 掲載ページ: 57-61
• 掲載年月日（W3CDTF）: 2025
• ISSN（掲載誌）: 0285-5844
• ISSN-L（掲載誌）: 0285-5844
• 出版事項（掲載誌）: 東京 : 日本写真測量学会
• 出版地（国名コード）: JP
• 本文の言語コード: jpn
• NDLC: ZN1
• 対象利用者: 一般
• 所蔵機関: 国立国会図書館
• 請求記号: Z16-147
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館雑誌記事索引; https://ndlsearch.ndl.go.jp
• 書誌ID（NDLBibID）: 034266942; http://id.ndl.go.jp/bib/034266942
• 整理区分コード: 632

• 要約等: <p>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.</p>
• DOI: 10.4287/jsprs.64.58
• オンライン閲覧公開範囲: インターネット公開
• 連携機関・データベース: 科学技術振興機構 : J-STAGE; http://www.jstage.jst.go.jp

• 要約等: <p>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.</p>
• DOI: 10.4287/jsprs.64.58; https://doi.org/10.4287/jsprs.64.58
• 関連情報（URI）: http://id.ndl.go.jp/bib/034266942; https://ndlsearch.ndl.go.jp/books/R000000004-I034266942; https://www.jstage.jst.go.jp/article/jsprs/64/3/64_58/_pdf
• 参照: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis; https://cir.nii.ac.jp/crid/1360292619108717568; 3D Gaussian Splatting for Real-Time Radiance Field Rendering; https://cir.nii.ac.jp/crid/1360303275581225600
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: Japan Link Center; https://japanlinkcenter.org/top; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org
• 書誌ID（NDLBibID）: 034266942; http://id.ndl.go.jp/bib/034266942