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Updated: Feb 14, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
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Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

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市民インフラのAIベースの3Dモデリング戦略:NeRFとフォトグラムメトリーの定量評価

Edison Atencio1, Fabrizzio Duarte1, Fidel Lozano-Galant2

  • 1School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2147, Valparaíso 2362804, Chile.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

神経放射線場 (Neural Radiance Fields,NeRF) は,土木工学用の画像が少ない高速でフォトリアリスティックな3Dモデルを提供し,デジタルフォトグラムメトリーは正確性と完全性において優れている. この比較は,インフラストラクチャの監視のための技術選択を助けます.

キーワード:
3DモデリングNeRFのニューラル放射線フィールドは,UAV (無人航空機) の無人航空機画像デザイン科学研究 デザイン科学研究インフラストラクチャの建設,再建,再構築ポイントクラウドの精度 ポイントクラウドの精度

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