Development of data processing methods of 3D scanned point cloud of environments based on point quality optimization

2020 Fiscal Year Final Research Report

• Project/Area Number: 18K03896
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 18030:Design engineering-related
• Research Institution: Hokkaido University
• Principal Investigator: Date Hiroaki 北海道大学, 情報科学研究院, 准教授 (20374605)
• Co-Investigator(Kenkyū-buntansha): 金井 理 北海道大学, 情報科学研究院, 教授 (90194878)
• Project Period (FY): 2018-04-01 – 2021-03-31
• Keywords: 3次元レーザ計測 / 3次元画像計測 / 点群 / 計測品質 / 計測データ処理 / 3次元計測支援

Outline of Final Research Achievements

In this research, we developed methods of 3D scan data processing considering the scan quality in order to use 3D scan data of large-scale environments and structures more stably and accurately in several 3D applications. We developed methods for estimating the scan quality of 3D scan data (point clouds), methods for supporting 3D scan data acquisition to efficiently acquire high quality 3D scan data, and basic processing methods of 3D scan data based on the scan quality. The effectiveness of the methods were evaluated through experiments using real scan data of some environments and structures.

Free Research Field

形状処理

Academic Significance and Societal Importance of the Research Achievements

本研究は，環境や構造物の3次元計測データ(点群)の計測品質の推定手法を確立し，計測品質を考慮したデータ処理手法が，従来法に比べてより高精度な処理結果をもたらすことを示している．また，高品質計測点群データの効率的取得を支援する技術を開発し，環境や構造物の維持管理，点検，保守，検査への3次元計測技術活用の高度化・高精度化のための基盤となる計測データ処理技術を構築している．