La documentazione del patrimonio culturale perduto mediante fotogrammetria e intelligenza artifi ciale
DOI:
https://doi.org/10.56205/mim.2-1.5Palabras clave:
Photogrammetry, Artifi cial Intelligence, Cultural Heritage, Historical Images, Metric SurveyResumen
This research aims to give an analysis and assessment through the extraction of metric
information from historical images and to experiment with its potentialities in the heritage fi eld
with the aim of valorising historical iconographical documentation. In particular the paper
deals with photogrammetry applied to historical images. A classifi cation and a state of the art
of historical archives material considering their possible use in metric documentation and thus
suitable for photogrammetry is performed. A photogrammetric workfl ow is proposed to process
historical images and the maximum metric quality level reachable by the photogrammetric
processing is investigated. Two case studies in Paris were chosen: the UNESCO Heritage
Tour Saint Jacques and the pavilions of Les Halles of the architect Victor Baltard. The two
studies represent different situations of heritage because the tower was transformed over time
but still exists and the pavilions were destroyed in 1971. Thus, it is possible to compare the
different results obtained from the implementation of the workfl ow to the two case studies.
Citas
lbertz, J. (2001). Albrecht Meydenbauer – Pioneer of photogrammetric documentation of the Cultural Heritage. In: Proceedings 18th International Symposium CIPA 2001, September 18 - 21, 2001, Potsdam, Germany.
Amato, F., Moscato, V., Picariello, A., Colace, F., Santo, M.D., Schreiber, F.A., Tanca, L. (2017). Big data meets digital Cultural Heritage: Design and implementation of scrabs, a smart contextaware browsing assistant for cultural environments. Journal on Computing and Cultural Heritage (JOCCH) Vol. 10 No. 1,6 (2017).
Andrianaivo, L. N., D’Autilia, R., and Palma, V. (2019). Architecture recognition by means of convolutional neural networks, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W15, 77–84, https://doi.org/10.5194/isprsarchives-
XLII-2-W15-77-2019, 2019.
Baltard, V. (1863). Monographie des Halles centrale de Paris. Archives de Paris,ATLAS 97: INHA.
Bitelli, G., Girelli, V.A., Marziali, M., Zanutta, A. (2007). Use of historical images for the documentation and the metrical study of cultural heritage by means of digital photogrammetric techniques, in: A. Georgopoulos (Ed.), Proceedings of CIPA, XXI Symposium, Athens, Greece. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI5/C53, 8 pages.
COLMAP, Johannes L. Schoenberger (2019). COLMAP - Structure-From- Motion and Multi-View Stereo. https://github.com/colmap/colmap.
Condorelli, F. and Rinaudo, F. (2018). Cultural Heritage reconstruction from historical photographs and videos, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 259-265, https://doi.org/10.5194/isprs-archives-XLII-2-259-2018.
Condorelli, F. and Rinaudo, F. (2019). Benchmark of metric quality assessment in photogrammetric reconstruction for historical fi lm footage. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. XLII-2/W11, pp. 443-448, doi.org/10.5194/isprs-archives-XLII-2-W11-443-2019.
Condorelli, F., Higuchi, R., Nasu, S., Rinaudo, F., and Sugawara, H. (2019).
Improving performance of feature extraction in SfM algorithms for 3D sparse point cloud, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W17, 101–106, https://doi.org/10.5194/isprs-archives-XLII-2-W17-101-2019, 2019.
Condorelli, F., Rinaudo, F., Salvadore, F., Tagliaventi, S. (2020). A Neural Networks Approach to Detecting Lost Heritage in Historical Video, ISPRS Int.
J. Geo- Inf. 2020, 9(5), 297; https://doi.org/10.3390/ijgi9050297.
Costantino, D., & Angelini, M. G. (2015). Three-dimensional integrated survey for building investigations. Journal of forensic sciences, 60(6), 1625-1632.
Pepe, M., Alfi o, V. S., Costantino, D., & Scaringi, D. (2022). Data for 3D reconstruction and point cloud classifi cation using machine learning in cultural heritage environment. Data in Brief, 42, 108250.
Llamas, J., Lerones, P.M., Medina, R., Zalama, E., Gómez-García-Bermejo, J. (2017). Classifi cation of architectural heritage images using deep learning techniques. Appl. Sci. 2017, 7, 992, doi:10.3390/app7100992.
Maiwald, F., Henze, F., Bruschke, J., and Niebling, F. (2019). Geo-information technologies for a multimodal access on historical photographs and maps for research and communication in urban history, Int. Arch. Photogramm. Remote Sens.
Spatial Inf. Sci., XLII-2/W11, 763–769, https://doi.org/10.5194/isprsarchives-XLII-2-W11-763-2019, 2019.
Meurgey, J. (1926). Histoire de la paroisse Saint-Jacques de-la-Boucherie; Bibliothèque de l’École des chartes: Paris, p. 347.
Stylianidis, E. (2019). CIPA - Heritage Documentation: 50 Years: Looking Backwards, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W14, 1–130, https://doi.org/10.5194/isprs-archives-XLII-2-W14-1-2019, 2019.
