Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage
Today, plans to protect historic buildings focus on managing architectural heritage sustainably. Technical teams, such as architects and restorers, use massive data acquisition techniques, so an identification mechanism is required to select geometrical similarity patters to support hypothesis that...
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MDPI AG
2022-09-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/14/9/1893 |
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| author | Juan Moyano María Fernández-Alconchel Juan E. Nieto-Julián Manuel J. Carretero-Ayuso |
| author_facet | Juan Moyano María Fernández-Alconchel Juan E. Nieto-Julián Manuel J. Carretero-Ayuso |
| author_sort | Juan Moyano |
| collection | DOAJ |
| description | Today, plans to protect historic buildings focus on managing architectural heritage sustainably. Technical teams, such as architects and restorers, use massive data acquisition techniques, so an identification mechanism is required to select geometrical similarity patters to support hypothesis that guarantee historical data. Moreover, computational methods are required to understand the role of organic shapes in historic buildings. This paper first describes an extensive review of the literature and then the algorithms and methods to compare and to detect similar geometrical elements and complex patterns in architecture and archaeology. For this purpose, two key aspects are considered: the metric standpoint and historical-graphical features of the 3D models, i.e., composition, techniques, styles, and historical-graphical documentary sources. Research implies testing several methodological lines to know the similarity degree of complex organic shapes in architectural details through statistical analysis, software to assess point clouds, and complex curve analysis. The results have shown that the three procedures can be compared and that the bases of the pillars of both the Cathedral of Seville and the churches in Carmona, Jerez, and Morón are very similar; however, the base of the pillar of the church in Carmona presents scalability variations. |
| first_indexed | 2024-03-09T22:22:08Z |
| format | Article |
| id | doaj.art-65b59894581049edb33eef4a1db726b5 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-09T22:22:08Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-65b59894581049edb33eef4a1db726b52023-11-23T19:12:42ZengMDPI AGSymmetry2073-89942022-09-01149189310.3390/sym14091893Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural HeritageJuan Moyano0María Fernández-Alconchel1Juan E. Nieto-Julián2Manuel J. Carretero-Ayuso3Department of Graphical Expression and Building Engineering, University of Seville, Ave. Reina Mercedes, 4A, 41012 Seville, SpainDepartment of Graphical Expression and Building Engineering, University of Seville, Ave. Reina Mercedes, 4A, 41012 Seville, SpainDepartment of Graphical Expression and Building Engineering, University of Seville, Ave. Reina Mercedes, 4A, 41012 Seville, SpainDepartment of Arquitecture, Arquitecture School, University of Alcalá, C. Sta. Úrsula, 8, 28801 Alcalá de Henares, SpainToday, plans to protect historic buildings focus on managing architectural heritage sustainably. Technical teams, such as architects and restorers, use massive data acquisition techniques, so an identification mechanism is required to select geometrical similarity patters to support hypothesis that guarantee historical data. Moreover, computational methods are required to understand the role of organic shapes in historic buildings. This paper first describes an extensive review of the literature and then the algorithms and methods to compare and to detect similar geometrical elements and complex patterns in architecture and archaeology. For this purpose, two key aspects are considered: the metric standpoint and historical-graphical features of the 3D models, i.e., composition, techniques, styles, and historical-graphical documentary sources. Research implies testing several methodological lines to know the similarity degree of complex organic shapes in architectural details through statistical analysis, software to assess point clouds, and complex curve analysis. The results have shown that the three procedures can be compared and that the bases of the pillars of both the Cathedral of Seville and the churches in Carmona, Jerez, and Morón are very similar; however, the base of the pillar of the church in Carmona presents scalability variations.https://www.mdpi.com/2073-8994/14/9/18933D range scanningTerrestrial Laser ScanningStructure-from-Motion3D data comparisonCathedral of Seville |
| spellingShingle | Juan Moyano María Fernández-Alconchel Juan E. Nieto-Julián Manuel J. Carretero-Ayuso Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage Symmetry 3D range scanning Terrestrial Laser Scanning Structure-from-Motion 3D data comparison Cathedral of Seville |
| title | Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage |
| title_full | Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage |
| title_fullStr | Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage |
| title_full_unstemmed | Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage |
| title_short | Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage |
| title_sort | methodologies to determine geometrical similarity patterns as experimental models for shapes in architectural heritage |
| topic | 3D range scanning Terrestrial Laser Scanning Structure-from-Motion 3D data comparison Cathedral of Seville |
| url | https://www.mdpi.com/2073-8994/14/9/1893 |
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