書誌事項
- タイトル別名
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- FUNDAMENTAL RESEARCH ON AUTOMATIC POINT CLOUD CLUSTERING BY POSTURE-DETECTION OF BUILDINGS FOR 3D ARCHIVE
抄録
<p>As Japan becomes a stock-based society, utilizing existing buildings is increasingly crucial. Although 3D measurements for acquiring building shape data are developing, challenges remain in effectively utilizing point cloud data obtained from these surveys. To this end, it is essential to efficiently extract architectural elements (clustering) from point clouds, which contain large data volumes and numerous unnecessary points, and reduce them to meaningful data. This study proposes a novel method utilizing building posture estimation and demonstrates an automatic clustering technique for floors, ceilings, and walls of building point clouds.</p>
収録刊行物
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- 日本建築学会技術報告集
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日本建築学会技術報告集 30 (74), 506-511, 2024-02-20
一般社団法人 日本建築学会
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詳細情報 詳細情報について
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- CRID
- 1390299207438507648
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- ISSN
- 18818188
- 13419463
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可