A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point Clouds
This paper presents Segmentation for Diagnose (Seg4D), a holistic tool for processing 3D point clouds in the field of historical constructions. This tool incorporates state-of-the-art algorithms for the segmentation and analysis of construction systems and damage. Seg4D applies both supervised and u...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/12/2018 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849432255582175232 |
|---|---|
| author | Luis Javier Sánchez-Aparicio Rubén Santamaría-Maestro Pablo Sanz-Honrado Paula Villanueva-Llauradó Jose Ramón Aira-Zunzunegui Diego González-Aguilera |
| author_facet | Luis Javier Sánchez-Aparicio Rubén Santamaría-Maestro Pablo Sanz-Honrado Paula Villanueva-Llauradó Jose Ramón Aira-Zunzunegui Diego González-Aguilera |
| author_sort | Luis Javier Sánchez-Aparicio |
| collection | DOAJ |
| description | This paper presents Segmentation for Diagnose (Seg4D), a holistic tool for processing 3D point clouds in the field of historical constructions. This tool incorporates state-of-the-art algorithms for the segmentation and analysis of construction systems and damage. Seg4D applies both supervised and unsupervised machine learning and deep learning methods, including the Point Transformer Neural Network for point cloud segmentation. Additionally, it facilitates the extraction of geometrical and statistical features, colour-scale conversion, noise reduction with anisotropic filters and the use of custom scripts for analysing deflections in slabs or out-of-plane movements in arches and vaults, among others. The Seg4D installer and source code are are publicly available in a GitHub repository. |
| format | Article |
| id | doaj-art-2f5ac3f0187c47a68eb2da56828e1a4e |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-2f5ac3f0187c47a68eb2da56828e1a4e2025-08-20T03:27:25ZengMDPI AGRemote Sensing2072-42922025-06-011712201810.3390/rs17122018A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point CloudsLuis Javier Sánchez-Aparicio0Rubén Santamaría-Maestro1Pablo Sanz-Honrado2Paula Villanueva-Llauradó3Jose Ramón Aira-Zunzunegui4Diego González-Aguilera5Department of Construction and Technology in Architecture (DCTA), Escuela Técnica Superior de Arquitectura de Madrid (ETSAM), Universidad Politécnica de Madrid, Av. Juan de Herrera, 4, 28040 Madrid, SpainDepartment of Construction and Technology in Architecture (DCTA), Escuela Técnica Superior de Arquitectura de Madrid (ETSAM), Universidad Politécnica de Madrid, Av. Juan de Herrera, 4, 28040 Madrid, SpainDepartment of Construction and Technology in Architecture (DCTA), Escuela Técnica Superior de Arquitectura de Madrid (ETSAM), Universidad Politécnica de Madrid, Av. Juan de Herrera, 4, 28040 Madrid, SpainDepartment of Building Structures and Physics, Escuela Técnica Superior de Arquitectura (ETSAM), Universidad Politécnica de Madrid, Avda. Juan de Herrera, 4, 28040 Madrid, SpainDepartment of Construction and Technology in Architecture (DCTA), Escuela Técnica Superior de Arquitectura de Madrid (ETSAM), Universidad Politécnica de Madrid, Av. Juan de Herrera, 4, 28040 Madrid, SpainDepartment of Cartographic and Land Engineering, Escuela Politécnica Superior de Ávila, Universidad de Salamanca, Hornos Caleros, 50, 05003 Ávila, SpainThis paper presents Segmentation for Diagnose (Seg4D), a holistic tool for processing 3D point clouds in the field of historical constructions. This tool incorporates state-of-the-art algorithms for the segmentation and analysis of construction systems and damage. Seg4D applies both supervised and unsupervised machine learning and deep learning methods, including the Point Transformer Neural Network for point cloud segmentation. Additionally, it facilitates the extraction of geometrical and statistical features, colour-scale conversion, noise reduction with anisotropic filters and the use of custom scripts for analysing deflections in slabs or out-of-plane movements in arches and vaults, among others. The Seg4D installer and source code are are publicly available in a GitHub repository.https://www.mdpi.com/2072-4292/17/12/20183D point cloudscultural heritagehistorical constructionsdiagnosisartificial intelligenceCloudCompare |
| spellingShingle | Luis Javier Sánchez-Aparicio Rubén Santamaría-Maestro Pablo Sanz-Honrado Paula Villanueva-Llauradó Jose Ramón Aira-Zunzunegui Diego González-Aguilera A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point Clouds Remote Sensing 3D point clouds cultural heritage historical constructions diagnosis artificial intelligence CloudCompare |
| title | A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point Clouds |
| title_full | A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point Clouds |
| title_fullStr | A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point Clouds |
| title_full_unstemmed | A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point Clouds |
| title_short | A Holistic Solution for Supporting the Diagnosis of Historic Constructions from 3D Point Clouds |
| title_sort | holistic solution for supporting the diagnosis of historic constructions from 3d point clouds |
| topic | 3D point clouds cultural heritage historical constructions diagnosis artificial intelligence CloudCompare |
| url | https://www.mdpi.com/2072-4292/17/12/2018 |
| work_keys_str_mv | AT luisjaviersanchezaparicio aholisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT rubensantamariamaestro aholisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT pablosanzhonrado aholisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT paulavillanuevallaurado aholisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT joseramonairazunzunegui aholisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT diegogonzalezaguilera aholisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT luisjaviersanchezaparicio holisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT rubensantamariamaestro holisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT pablosanzhonrado holisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT paulavillanuevallaurado holisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT joseramonairazunzunegui holisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds AT diegogonzalezaguilera holisticsolutionforsupportingthediagnosisofhistoricconstructionsfrom3dpointclouds |