Automatic Detection and 3D Reconstruction of Buildings from Historical Maps
This paper presents an automatic 3D building reconstruction methodology for historical urban maps. It uses facade and openings detection on the maps, followed by rectification, regularization, and 3D model generation techniques. Evaluation metrics confirm the effectiveness of the approach, with high...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2378274 |
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| _version_ | 1846119859216187392 |
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| author | Fernando Pérez Nava Isabel Sánchez Berriel |
| author_facet | Fernando Pérez Nava Isabel Sánchez Berriel |
| author_sort | Fernando Pérez Nava |
| collection | DOAJ |
| description | This paper presents an automatic 3D building reconstruction methodology for historical urban maps. It uses facade and openings detection on the maps, followed by rectification, regularization, and 3D model generation techniques. Evaluation metrics confirm the effectiveness of the approach, with high accuracy in detecting facades and their openings while maintaining geometric integrity. The flexibility and interoperability of the chosen 3D building representation method allow for adjustments in dimensions without compromising layout, making it suitable for completing the urban environments where facades may not be directly visible. This methodology represents a significant step toward automating the reconstruction of 3D historical urban landscapes, contributing to heritage preservation and architectural understanding. |
| format | Article |
| id | doaj-art-aef4714ac5894e96b721b9d9c62a5e04 |
| institution | Kabale University |
| issn | 0883-9514 1087-6545 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj-art-aef4714ac5894e96b721b9d9c62a5e042024-12-16T16:13:02ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452024-12-0138110.1080/08839514.2024.2378274Automatic Detection and 3D Reconstruction of Buildings from Historical MapsFernando Pérez Nava0Isabel Sánchez Berriel1Departmento de Ingeniería Informática y Sistemas, Escuela Técnica Superior de Ingenieria Informatica, University of La Laguna, San Cristóbal de La Laguna, SpainDepartmento de Ingeniería Informática y Sistemas, Escuela Técnica Superior de Ingenieria Informatica, University of La Laguna, San Cristóbal de La Laguna, SpainThis paper presents an automatic 3D building reconstruction methodology for historical urban maps. It uses facade and openings detection on the maps, followed by rectification, regularization, and 3D model generation techniques. Evaluation metrics confirm the effectiveness of the approach, with high accuracy in detecting facades and their openings while maintaining geometric integrity. The flexibility and interoperability of the chosen 3D building representation method allow for adjustments in dimensions without compromising layout, making it suitable for completing the urban environments where facades may not be directly visible. This methodology represents a significant step toward automating the reconstruction of 3D historical urban landscapes, contributing to heritage preservation and architectural understanding.https://www.tandfonline.com/doi/10.1080/08839514.2024.2378274 |
| spellingShingle | Fernando Pérez Nava Isabel Sánchez Berriel Automatic Detection and 3D Reconstruction of Buildings from Historical Maps Applied Artificial Intelligence |
| title | Automatic Detection and 3D Reconstruction of Buildings from Historical Maps |
| title_full | Automatic Detection and 3D Reconstruction of Buildings from Historical Maps |
| title_fullStr | Automatic Detection and 3D Reconstruction of Buildings from Historical Maps |
| title_full_unstemmed | Automatic Detection and 3D Reconstruction of Buildings from Historical Maps |
| title_short | Automatic Detection and 3D Reconstruction of Buildings from Historical Maps |
| title_sort | automatic detection and 3d reconstruction of buildings from historical maps |
| url | https://www.tandfonline.com/doi/10.1080/08839514.2024.2378274 |
| work_keys_str_mv | AT fernandopereznava automaticdetectionand3dreconstructionofbuildingsfromhistoricalmaps AT isabelsanchezberriel automaticdetectionand3dreconstructionofbuildingsfromhistoricalmaps |