A refined 3D reconstruction method for irregular ancient buildings
The refined three-dimensional (3D) reconstruction of ancient buildings using unmanned aerial vehicles (UAVs) is a crucial task in cultural heritage preservation. However, the complex structure, diverse shapes and non-regularity of ancient buildings make it difficult for traditional 3D reconstruction...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W8-2024/507/2024/isprs-archives-XLVIII-2-W8-2024-507-2024.pdf |
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| Summary: | The refined three-dimensional (3D) reconstruction of ancient buildings using unmanned aerial vehicles (UAVs) is a crucial task in cultural heritage preservation. However, the complex structure, diverse shapes and non-regularity of ancient buildings make it difficult for traditional 3D reconstruction methods to fully cover all the details, resulting in poor quality reconstruction models. Therefore, this study proposes a novel 3D reconstruction method tailored for irregular ancient architecture, which adopts a "structural surface" guided strategy, and plans routes through the idea of "structural surfaces segmentation and then designing the routes", so as to obtain a high-resolution image set, and to ensure that the reconstruction model's fineness and completeness. Additionally, to tackle the slow speed and time-consuming nature of traditional modeling algorithms in establishing image adjacency relationships, this paper presents a method that utilizes flight path information to build these relationships. To validate the effectiveness of the proposed method, the Yellow Crane Tower in Wuhan, Hubei Province, China, was selected as a case study. Results indicate that the proposed method successfully enables the refined reconstruction of the Yellow Crane Tower, providing significant insights for the 3D reconstruction of irregular ancient buildings. |
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| ISSN: | 1682-1750 2194-9034 |