Remote diagnosis and control of the heritage Architecture by photorealistic digital environments and models 
Abstract
The paper is going to discuss a methodological workflow, focused on the role of photoscanning-based immersive environments and three-dimensional models as tools for sharing, interpreting and elaborating diagnostic data for the assessment and control of the state of conservation of the architectural heritage. Specifically, from the identification of fields and aims, where the available tools and functionalities meet the support needs by the stakeholders, some experimental applications are developed with reference to two main aspects. The former concerns the creation of virtual tours of panoramic scenes, enriched by data from preliminary investigation, in order to enable the coordinated and integrated fruition of the pre-diagnosis qualification outcome. The latter relates to the employment of image treatment routines on coloured point clouds with the purpose of carrying out semi-automatic operations of decay monitoring for post-diagnosis control.
Keywords
Full Text:
PDFDOI: http://dx.doi.org/10.2423/i22394303v9n2p1
References
Agrafiotis, P., Lampropoulos, K., Georgopoulos, A., & Moropoulou, A. (2017). 3D modelling the invisible using ground penetrating radar. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2W3), 33–37.
Balsa-Barreiro, J., & Fritsch, D. (2018). Generation of visually aesthetic and detailed 3D models of historical cities by using laser scanning and digital photogrammetry. Digital Applications in Archaeology and Cultural Heritage, 8(2017), 57–64.
Barreau, J., Gaugne, R., & Gouranton, V. (2017). Immersive Point Cloud Manipulation for Cultural Heritage Documentation. ERCIM News, ERCIM 2017, 1–3.
Bruno, S., De Fino, M., & Fatiguso, F. (2018). Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management. Automation in Construction, 86(2017), 256–276.
Cacciotti, R., Valach, J., Kuneš, P., Čerňanský, M., Blaško, M., & Křemen, P. (2013). Monument damage information system (mondis): An ontological approach to cultural heritage documentation. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(5/W1), 61–66.
Campanaro, D. M., Landeschi, G., Dell’Unto, N., & Leander Touati, A. M. (2016). 3D GIS for cultural heritage restoration: A “white box” workflow. Journal of Cultural Heritage, 18, 321–332.
Chane, C. S., Mansouri, A., Marzani, F. S., & Boochs, F. (2013). Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives. Image and Vision Computing, 31(1), 91–102.
De Fino, M., Scioti, A., Rubino, R., & Fatiguso, F. (2017). Qualificazione e valutazione di caratteristiche, patologie e prestazioni negli edifici storici mediante ambienti digitali immersivi. In G. Bernardini, E. Di Giuseppe (Eds.), Colloqui.AT.e 2017 DEMOLITION OR RECONSTRUCTION? (pp. 807-818). Monfalcone (Gorizia),Italy: Edicom Edizioni. .
De Fino, M., Scioti, A., Rubino, R., Pierucci, A., & Fatiguso, F. (2018). ‘Augmented Diagnostics’ for the Architectural Heritage. International Journal of Heritage Architecture, 2(2), 248–260.
De Luca, L., Busayarat, C., Stefani, C., & Veron, P. (2017). NUBES: describing, analysing, documenting and sharing digital representations of heritage buildings. In Conference on Semantic 3D Media and Content. Retrieved from HAL Id: hal-01174753 https://hal.archives-ouvertes.fr/hal-01174753
De Luca, L., Pierrot-deseilligny, M., Manuel, A., Chevrier, C., Lollier, B., Benistant, P., … & Alaoui, A. (2017). AIOLI. Retrieved March 17, 2019, from http://www.aioli.cloud/
Galantucci, R. A., & Fatiguso, F. (2018). Advanced damage detection techniques in historical buildings using digital photogrammetry and 3D surface anlysis. Journal of Cultural Heritage, 36, 51-62.
Galantucci, R. A., Fatiguso, F., & Galantucci, L. M. (2018). A proposal for a new standard quantification of damages of cultural heritages, based on 3d scanning. SCIRES-IT - SCIentific RESearch and Information Technology, 8(1), 121–138.
Girardeau-Montaut, D. (2015). CloudCompare v2.6.1 - User manual. Retrieved November 16, 2017, from http://www.danielgm.net/cc/doc/qCC/CloudCompare v2.6.1 - User manual.pdf
Girgenti, G. M. (2018). A virtual reconfiguration of two destroyed neighborhoods in the Old Town of Palermo. SCIRES-IT - SCIentific RESearch and Information Technology, 8(1), 93–104.
Guidi, G., Russo, M., & Angheleddu, D. (2014). 3D survey and virtual reconstruction of archeological sites. Digital Applications in Archaeology and Cultural Heritage, 1(2), 55-69.
Hallermann, N., Morgenthal, G., & Rodehorst, V. (2015). Unmanned Aerial Systems (UAS) – Case Studies of Vision Based Monitoring of Ageing Structures. In International Symposium Non-Destructive Testing in Civil Engineering (NDT-CE). Retrieved from: https://www.ndt.net/article/ndtce2015/papers/ 169_hallermann_norman.pdf
Katz, J., & Tokovinine, A. (2017). The past, now showing in 3D: An introduction. Digital Applications in Archaeology and Cultural Heritage, 6(September), 1–3.
Koutsoudis, A., Vidmar, B., Ioannakis, G., Arnaoutoglou, F., Pavlidis, G., & Chamzas, C. (2014). Multi-image 3D reconstruction data evaluation. Journal of Cultural Heritage, 15(1), 73–79.
Kuroczyński P., Hauck O., D. D. (2016). 3D Models on Triple Paths - New Pathways for Documenting and Visualizing Virtual Reconstructions. In M. Münster S., M. Pfarr-Harfst., & P. Kuroczyński (Eds.), 3D Research Challenges in Cultural Heritage II (Vol. 10025). Cham, Switzerland: Springer.
Mandelli, A., Achille, C., Tommasi, C., & Fassi, F. (2017). Integration of 3D models and diagnostic analyses through a conservation-oriented information system. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2W5), 497–504.
Messaoudi, T., Véron, P., Halin, G., & De Luca, L. (2018). An ontological model for the reality-based 3D annotation of heritage building conservation state. Journal of Cultural Heritage, 29, 100-112.
Mohan, A., & Poobal, S. (2017). Crack detection using image processing: A critical review and analysis. Alexandria Engineering Journal, 57(2), 787-798.
Napolitano, R. K., Scherer, G., & Glisic, B. (2018). Virtual tours and informational modeling for conservation of cultural heritage sites. Journal of Cultural Heritage, 29, 123–129.
Nespeca, R., & De Luca, L. (2016). Analysis, thematic maps and data mining from point cloud to ontology for software development. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41(July), 347–354.
Pierdicca, R., Frontoni, E., Malinverni, E. S., Colosi, F., & Orazi, R. (2016). Virtual reconstruction of archaeological heritage using a combination of photogrammetric techniques: Huaca Arco Iris, Chan Chan, Peru. Digital Applications in Archaeology and Cultural Heritage, 3(3), 80–90.
Prati, D., Rrapaj, I., & Mochi, G. (2018). Contribution of parametric modeling in the interpretation of deformations and displacements of wooden trusses. SCIRES-IT - SCIentific RESearch and Information Technology, 8(1), 105–120.
Sánchez, J., & Quirós, E. (2017). Semiautomatic detection and classification of materials in historic buildings with low-cost photogrammetric equipment. Journal of Cultural Heritage, 25, 21–30.
Soler, F., Melero, F. J., & Luzón, M. V. (2017). A complete 3D information system for cultural heritage documentation. Journal of Cultural Heritage, 23, 49–57.
Valença, J., Dias-da-costa, D., Júlio, E., Araújo, H., & Costa, H. (2013). Automatic crack monitoring using photogrammetry and image processing, Measurement 46(1), 433–441.
Valzano, V., Negro, F., & Foschi, R. (2018). The Gallery of the Castromediano’s Castle. Three-dimensional reconstruction and virtual representation. SCIRES-IT - SCIentific RESearch and Information Technology, 7(2), 13–26.
Article Metrics
Metrics powered by PLOS ALM
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 Mariella De Fino, Rosella Alessia Galantucci, Fabio Fatiguso
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
SCIRES-IT, e-ISSN 2239-4303
Journal founded by Virginia Valzano