Information processes in Virtual 3D reconstruction of Roman Three-Bay Double Arch of Musti (Tunisia)

Jakub Franczuk

https://orcid.org/0000-0003-1209-4449

Poland

Warsaw University of Technology image/svg+xml

Architect, PhD candidate, research fellow, and tutor at the Faculty of Architecture, Warsaw University of Technology. He is interested in HBIM, digital reconstruction, extended reality, and visualization. He has extensive experience in BIM modelling and management, architectural surveying, reality-based modelling, algorithmic design, and parametric objects and libraries. His research focuses on using integrated digital environments to map and share architectural heritage knowledge.

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Accepted: 2024-12-24

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Published: 2025-01-31

DOI: https://doi.org/10.4995/var.2024.22543
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Keywords:

parametric modeling, HeritageBuilding Information Modelling (HBIM), virtual anastylosis, Light Detection and Ranging (LiDAR), photogrammetry, 3D reconstruction

Supporting agencies:

Warsaw University of Technology

Abstract:

Highlights:

  • The article highlights the integration of advanced modelling software, showcasing their potential in reconstructing historical monuments with high accuracy and detail.
  • The study uses modern techniques such as LiDAR, photogrammetry, and HBIM compared with historical documentation in digital 3D reconstruction.
  • Reality-based parametric modelling and virtual anastylosis were employed to verify and visualise hypotheses about the original structure of the arch.

Abstract:

The case study focuses on the virtual hypothetical 3D reconstruction of the Roman Three-bay Double Arch of Musti, Tunisia. This work, part of the AFRIPAL project, aims to enhance understanding of the Romanization and urban development of Musti between the 5th century BC and the 3rd century AD. It builds on research by Professor Naïdè Ferchiou, who provided a detailed reconstruction hypothesis based on measurements and documentation from the 1990s. Modern techniques such as LiDAR scanning, photogrammetry, Building Information Modeling (BIM), and parametric modeling were employed to visualize and verify this reconstruction. Scans of existing architectural fragments were used to create high and low-polygon models, enabling the testing of various hypotheses. The study highlights the use of tools like Reality Capture, Archicad, Rhino, and Grasshopper to reconstruct historical monuments, focusing on accuracy in modeling and detailed parametric representations. One of the main challenges was reconstructing the arch despite significant alterations due to centuries of redevelopment and later modifications. That challenge was addressed by cross-referencing historical documentation with modern scanning technologies and photogrammetry. Textured mesh and BREP modeling were incorporated with virtual anastylosis of elements to hypothesize the original structure. The study concludes by showcasing photorealistic visualizations of the reconstructed arch and discussing the potential for automating aspects of the reconstruction process using modern software. This work brings to life an ancient Roman monument and sets a workflow for future detailed virtual reconstructions of cultural architectural heritage.

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References:

AliceVision (2024). Meshroom (Version 2023.3.0) [Computer software]. Retrieved from https://alicevision.org/

Alshawabkeh, Y., Baik, A., & Miky, Y. (2021). Integration of Laser Scanner and Photogrammetry for Heritage BIM Enhancement. ISPRS International Journal of Geo-Information, 10(5), 316. https://doi.org/10.3390/ijgi10050316

Arayici, Y., Counsell, J., Mahdjoubi, L., Nagy, G., Hawas, S., & Dweidar, K. (Eds.) (2017). Heritage Building Information Modelling (1st ed.). London: Routledge. https://doi.org/10.4324/9781315628011

Argasiński, K., & Kuroczyński, P. (2023). Preservation through digitisation - standardisation in documentation of build cultural heritage using capturing reality techniques and heritage/historic BIM methodology. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-M-2-2023, 87-94. https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-87-2023

Baik, A., Alitany, A., Boehm, J., & Robson, S. (2014). Jeddah Historical Building Information Modelling 'JHBIM' - Object Library. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-5, 41-47. https://doi.org/10.5194/isprsannals-II-5-41-2014

Banfi, F., Brumana, R., Landi, A. G., Previtali, M., Roncoroni, F., & Stanga, C. (2022). Building archaeology informative modelling turned into 3D volume stratigraphy and extended reality time-lapse communication. Virtual Archaeology Review, 13(26), 1-21. https://doi.org/10.4995/var.2022.15313

Barazzetti, L. (2016). Parametric as-built model generation of complex shapes from point clouds. Advanced Engineering Informatics, 30(3), 298-311. https://doi.org/10.1016/j.aei.2016.03.005

Barceló, J. A. (2000). Visualising what might be. An introduction to Virtual Reality in Archaeology. In British Archaeological Reports. Virtual Reality in Archaeology (pp. 9-36). Oxford. https://doi.org/10.30861/9781841710471

Capturing Reality. (2024). RealityCapture (Version 1.3) [Computer software]. Retrieved from https://www.capturingreality.com/

CoVHer. (2023). Computer-based Visualisation of Architectural Cultural Heritage. Retrieved from https://covher.eu/

Croce, V., Caroti, G., Piemonte, A., De Luca, L., & Véron, P. (2023). H-BIM and Artificial Intelligence: Classification of Architectural Heritage for Semi-Automatic Scan-to-BIM Reconstruction. Sensors, 23(5), 2497. https://doi.org/10.3390/s23052497

De Luca, L., Busayarat, C., Stefani, C., Véron, P., & Florenzano, M. (2011). A semantic-based platform for the digital analysis of architectural heritage. Computers & Graphics, 35(2), 227-241. https://doi.org/10.1016/j.cag.2010.11.009

Denard, H. (2012). A New Introduction to the London Charter. Retrieved from https://londoncharter.org/introduction.html

Diara, F., & Rinaudo, F. (2019). From reality to parametric models of cultural heritage assets for HBIM. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W15, 413-419. https://doi.org/10.5194/isprs-archives-XLII-2-W15-413-2019

Dore, C., & Murphy, M. (2012). Integration of Historic Building Information Modeling (HBIM) and 3D GIS for recording and managing cultural heritage sites. 2012 18th International Conference on Virtual Systems and Multimedia, 369-376. Milan, Italy: IEEE. https://doi.org/10.1109/VSMM.2012.6365947

Fai, S., Graham, K., Duckworth, T., Wood, N., & Attar, R. (2011). Building information modelling and heritage documentation, 12-16.

Ferchiou, N. (1993a). L'arc double à trois baies de Mustis. In Fouilles, Monuments et Collections Archeologiques En Tunisie: Vol. XI-XII. Africa (pp. 277-363). Tunis: Institut National Du Patrimoine.

Ferchiou, N. (1993b). L'arc double à trois baies de Mustis. In Fouilles, Monuments et Collections Archeologiques En Tunisie: Vol. XI-XII. Africa (pp. 285-288). Tunis: Institut National Du Patrimoine.

Garagnani, S., & Manferdini, A. M. (2013). Parametric accuracy: building information modeling process applied to the cultural heritage preservation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W1, 87-92. https://doi.org/10.5194/isprsarchives-XL-5-W1-87-2013

Gil, A., Arayici, Y., Kumar, B., & Laing, R. (2024). Machine and Deep Learning Implementations for Heritage Building Information Modelling: A Critical Review of Theoretical and Applied Research. Journal on Computing and Cultural Heritage, 17(3), 1-22. https://doi.org/10.1145/3649442

Girardeau-Montaut, D. (2024). CloudCompare (Version 2.13.2) [Computer software]. Retrieved from https://www.danielgm.net/cc/

Goetz, J., Brenning, A., Marcer, M., & Bodin, X. (2018). Modeling the precision of structure-from-motion multi-view stereo digital elevation models from repeated close-range aerial surveys. Remote Sensing of Environment, 210, 208-216. https://doi.org/10.1016/j.rse.2018.03.013

Graphisoft. (2024). Archicad (Version 27) [Computer software]. Retrieved from https://graphisoft.com/solutions/archicad

Gruen, A. (2012). Development and status of image matching in photogrammetry. The Photogrammetric Record, 27(137), 36-57. https://doi.org/10.1111/j.1477-9730.2011.00671.x

Historic England. (2017, July 20). BIM for Heritage: Developing a Historic Building Information Model. Retrieved from https://historicengland.org.uk/images-books/publications/bim-for-heritage/

ICOMOS. (2017). 'Seville Principles', 19th ICOMOS General Assembly, New Delhi. Retrieved from http://sevilleprinciples.com/

Kuroczyński, P., Apollonio, F. I., Bajena, I. P., & Cazzaro, I. (2023). Scientific reference model - defining standards, methodology and implementation of serious 3d models in archaeology, art and architectural history. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-M-2-2023, 895-902. https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-895-2023

Lerma, J. L., Navarro, S., Cabrelles, M., & Villaverde, V. (2010). Terrestrial laser scanning and close range photogrammetry for 3D archaeological documentation: The Upper Palaeolithic Cave of Parpalló as a case study. Journal of Archaeological Science, 37(3), 499-507. https://doi.org/10.1016/j.jas.2009.10.011

Mazzetto, S. (2024). Integrating Emerging Technologies with Digital Twins for Heritage Building Conservation: An Interdisciplinary Approach with Expert Insights and Bibliometric Analysis. Heritage, 7(11), 6432-6479. https://doi.org/10.3390/heritage7110300

McNeel & Associates. (2023). Rhinoceros (Version 7 SR34.23267.11001) [Computer software]. Retrieved from https://www.rhino3d.com/

Mugnai, N. (2022). Forms and Functions of North African Architecture and Art. In A companion to North Africa in antiquity (pp. 247-284). https://doi.org/10.1002/9781119071754.ch15

Murphy, M., McGovern, E., & Pavia, S. (2009). Historic building information modelling (HBIM). Structural Survey, 27(4), 311-327. https://doi.org/10.1108/02630800910985108

PointCab (2024). PointCab Origins (Version 4.2) [Computer software]. Retrieved from https://pointcab-software.com/en/

Poloprutský, Z. (2019). Parametric modelling for HBIM: design of window library for rural building. Stavební Obzor - Civil Engineering Journal, 28(4). https://doi.org/10.14311/CEJ.2019.04.0052

Polycam. (2024). Polycam - LiDAR & 3D scanner for iPhone & Android. (Version 1.3.10) [Mobile application software] Retrieved from https://poly.cam/

Quattrini, R., Malinverni, E. S., Clini, P., Nespeca, R., & Orlietti, E. (2015). From TLS to HBIM. High quality semantically- aware 3d modeling of complex architecture. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W4, 367-374. https://doi.org/10.5194/isprsarchives-XL-5-W4-367-2015

Scaniverse. (2024). Scaniverse - Free 3D Scanner - Gaussian Splatting for iOS and Android (Version 2.1.8) [Mobil application software]. Retrieved from https://scaniverse.com/

Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1), 160018. https://doi.org/10.1038/sdata.2016.18

Visintini, D., Marcon, E., Pantò, G., Canevese, E. P., De Gottardo, T., & Bertani, I. (2019). Advanced 3d modeling versus building information modeling: the case study of Palazzo Ettoreo in Sacile (Italy). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W11, 1137-1143. https://doi.org/10.5194/isprs-archives-XLII-2-W11-1137-2019

Yang, X., Grussenmeyer, P., Koehl, M., Macher, H., Murtiyoso, A., & Landes, T. (2020). Review of built heritage modelling: Integration of HBIM and other information techniques. Journal of Cultural Heritage, 46, 350–360. https://doi.org/10.1016/j.culher.2020.05.008

Show more Show less