Deformations of Image Blocks in Photogrammetric Documentation of Cultural Heritage—Case Study: Saint James’s Chapel in Bratislava, Slovakia
Source abstract
Abstract
Structure from motion photogrammetry is currently one of the most frequently used technologies for the documentation of archaeological sites. Due to the relatively high freedom in choosing the position and orientation of the cameras, qualitatively different results for the reconstructed geometry can be achieved. Therefore, in the presented study, we focused on monitoring the changes in the geometry of point clouds obtained with different configurations of the camera network during the digitization of Saint James’s Chapel in Bratislava city. The changes of the tested photogrammetric variants were analyzed through comparison with scans from terrestrial laser scanning. The results suggest that caution should taken when striving for image recording efficiency, as insufficient connections between image blocks can lead to a decrease in relative accuracy, down to a level worse than 1:1000.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: 3D Surveying and Cultural Heritage · Remote Sensing and LiDAR Applications · Archaeological Research and Protection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology, 81005 Bratislava, Slovakia
Institute of Geodesy, Cartography and Geographical Information Systems, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Košice, 04200 Košice, Slovakia
Funding
Slovak Research and Development Agency · Operational Program Integrated Infrastructure for the project: “Support of research activities of Excellence laboratories STU in Bratislava · Cultural and Educational Agency of The Ministry of Education, Science, Research and Sport of the Slovak Republic
References (33)
Show source-provided references
1. Structure-from-motion (SFM) photogrammetry as a non-invasive methodology to digitalize historical documents: A highly flexible and low-cost approach?10.3390/heritage2030128 ↗
2. Caroti, G., Martinez Espejo Zaragoza, I., and Piemonte, A. (2019, January 4–6). Historical data of laser scanning and photogrammetry for the knowledge and memory plan of Cultural Heritage. Proceedings of the IMEKO TC-4 International Conference on Metrology for Archaeology and Cultural Heritage, Florence, Italy.
3. Sift-the scale invariant feature transform
4. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography10.1145/358669.358692 ↗
5. The interpretation of structure from motion
6. Schonberger, J.L., and Frahm, J.-M. (2016, January 27–30). Structure-from-motion Revisited. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA.10.1109/CVPR.2016.445 ↗
7. Wu, C. (July, January 29). Towards linear-time incremental structure from motion. Proceedings of the 2013 International Conference on 3D Vision-3DV 2013, Washington, DC, USA.10.1109/3DV.2013.25 ↗
8. Gherardi, R., Farenzena, M., and Fusiello, A. (2010, January 13–18). Improving the Efficiency of Hierarchical Structure-and-motion. Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA.10.1109/CVPR.2010.5539782 ↗
9. Crandall, D., Owens, A., Snavely, N., and Huttenlocher, D. (2011, January 20–25). Discrete-continuous optimization for large-scale structure from motion. Proceedings of the CVPR 2011, Colorado Springs, CO, USA.10.1109/CVPR.2011.5995626 ↗
10. Förstner, W., and Wrobel, B.P. (2016). Photogrammetric Computer Vision, Springer International Publishing.10.1007/978-3-319-11550-4 ↗
11. Analysis of data joining from different instruments for object modelling10.5194/isprs-archives-XLIII-B2-2022-853-2022 ↗
12. Laasch, H., Ryter, N., Steffen, I., Reske, A., Friedli, E., and Frangez, V. (2022, December 10). Automated Inspection within Galleries of Large Dams. Available online: https://www.fig.net/resources/proceedings/fig_proceedings/fig2022/papers/ts04d/TS04D_laasch_ryter_et_al_11349.pdf.
13. Experimental assessment of 3D narrow space mapping technologies10.5194/isprs-archives-XLIII-B2-2020-149-2020 ↗
14. (2022, December 10). ContextCapture. Available online: https://www.bentley.com/software/contextcapture/.
15. Terrestrial laser scanning and close range photogrammetry for 3D archaeological documentation: The Upper Palaeolithic Cave of Parpalló as a case study10.1016/j.jas.2009.10.011 ↗
16. Use of various surveying technologies to 3D digital mapping and modelling of cultural heritage structures for maintenance and restoration purposes: The Tholos in Delphi, Greece
17. Evaluation of the ICP algorithm in 3D point cloud registration10.1109/ACCESS.2020.2986470 ↗
18. Grussenmeyer, P., Alby, E., Assali, P., Poitevin, V., Hullo, J.F., and Smigiel, E. (2011). Accurate Documentation in Cultural Heritage by Merging TLS and High-resolution Photogrammetric Data. Videometrics, Range Imaging, and Applications XI, SPIE.10.1117/12.890087 ↗
19. The combination of terrestrial lidar and UAV photogrammetry for interactive architectural heritage visualization using Unity 3D game engine10.5194/isprs-archives-XLII-2-W17-39-2019 ↗
20. (2022, September 15). 3DF Zephyr. Available online: https://www.3dflow.net/3df-zephyr-photogrammetry-software/.
21. Combination of terrestrial laserscanning, UAV and close range photogrammertry for 3D reconstruction of complex churches in Georgia10.5194/isprs-archives-XLII-2-W11-753-2019 ↗
22. (2022, September 15). Agisoft Metashape: Professional Edition. Available online: https://www.agisoft.com/features/professional-edition/.
23. (2022, September 15). RealityCapture—Photogrammetry Software. Available online: https://www.capturingreality.com/realitycapture.
24. Morphological analysis for architectural applications: Comparison between laser scanning and structure-from-motion photogrammetry10.1061/(ASCE)SU.1943-5428.0000172 ↗
25. A comparison of terrestrial laser scanning and structure-from-motion photogrammetry as methods for digital outcrop acquisition10.1130/GES01342.1 ↗
26. Comparison of low cost photogrammetric survey with TLS and Leica pegasus backpack 3d modelss10.5194/isprs-archives-XLII-2-W8-147-2017 ↗
27. Marín-Buzón, C., Pérez-Romero, A.M., León-Bonillo, M.J., Martínez-Álvarez, R., Mejías-García, J.C., and Manzano-Agugliaro, F. (2021). Photogrammetry (SfM) vs. Terrestrial Laser Scanning (TLS) for Archaeological Excavations: Mosaic of Cantillana (Spain) as a Case Study. Appl. Sci., 11.10.3390/app112411994 ↗
28. Šimončičová Koóšová, P., Lesák, B., and Pivko, D. (2015). Kamenárske značky z Kaplnky sv. Jakuba v Bratislave. Archaeol. Hist., 711–731.10.5817/AH2015-2-19 ↗
29. The Health Status and Lifestyle of Historic Bratislava Inhabitants: I. Pilot Study of Long Bone Lesions from Gothic Part (XVth–XVIIIth Cent. AD) of the Ossuary in St. Jacob Chapel (Bratislava, Slovakia)
30. Minimal camera networks for 3D image based modeling of cultural heritage objects10.3390/s140405785 ↗
31. Uffenkamp, V. (1993). State of the Art of High Precision Industrial Photogrammetry. Third International Workshop on Accelerator Alignment, Springer.
32. Urban, R., Braun, J., and Štroner, M. (2015). Precise deformation measurement of prestressed concrete beam during a strain test using the combination of intersection photogrammetry and micro-network measurement. Videometrics, Range Imaging, and Applications XIII, SPIE.10.1117/12.2184038 ↗
33. High accuracy space structures monitoring by a close-range photogrammetric network