ORIGINAL ARTICLE
The possibility of using close-range photogrammetry in the inventory of historic complex basements - case study
 
More details
Hide details
1
Warsaw University of Technology, Faculty of Geodesy and Cartography
 
2
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Poland
 
 
Submission date: 2022-11-06
 
 
Acceptance date: 2022-11-30
 
 
Publication date: 2022-12-16
 
 
Sensors and Machine Learning Applications 2022;1(2)
 
KEYWORDS
TOPICS
ABSTRACT
In the community, historical objects play the role of witness to past history. Due to that fact, it is necessary to preserve and reconstruct cultural heritage objects and sites for the future generation. Image-based photogrammetric methods have been widely applied for this purpose for many years. Nowadays, Terrestrial Laser Scanning (TLS; range-based method), due to its advantages such as speed of data acquisition, high accuracy and independence from light conditions, is increasingly used in the inventory of complex historic buildings. Despite this, the development of modern image processing methods, i.e. Structure-from-Motion (SfM) and Multi-View Stereo (MVS), has meant that close-range photogrammetric techniques are still competitive with TLS. The article aimed to present the possibility of using close-range photogrammetry to inventory historic complex basements. Laser scanning was performed as part of the measurements (with a Z+F 5006h scanner), and a series of close-range images were taken with a full-frame non-metric Canon 5D Mark II camera. Based on the combined SfM and MVS methods, a dense point cloud was generated, which in a subsequent data processing step served as the basis for generating 3D models and cross-sections. To assess the quality of the generated documentation, the TLS data were used as ground-truth data, and the shape and cross-section mapping quality was compared. It is evident from the investment presented that the use of close-range photogrammetry methods makes it possible to generate documentation that meets the requirements of architectural studies and similar shape accuracy for historic complex basements.
 
REFERENCES (24)
1.
Tobiasz; Markiewicz; Łapiński; Nikel; Kot; Muradov Review of Methods for Documentation, Management, and Sustainability of Cultural Heritage. Case Study: Museum of King Jan III’s Palace at Wilanów. Sustainability 2019, 11, 7046, doi:10.3390/su11247046.
 
2.
Markiewicz, J.S.; Zawieska, D. Terrestrial scanning or digital images in inventory of monumental objects? - Case study. In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; 2014; Vol. 40.
 
3.
Salach, A.; Markiewicz, J.S.; Zawieska, D. Integration of point clouds from terrestrial laser scanning and image-based matching for generating high-resolution orthoimages. In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; 2016; Vol. 41.
 
4.
Remondino, F.; El-Hakim, S. Image-based 3D Modelling: A Review. Photogramm. Rec. 2006, 21, 269–291, doi:10.1111/j.1477 9730.2006.00383.x.
 
5.
Stylianidis, E.; Remondino, F. 3D Recording, Documentation and Management of Cultural Heritage; 1st ed.; Whittles Publishing, 2017; ISBN 978-1498763035.
 
6.
Stylianidis, E. CIPA - Heritage Documentation: 50 Years: Looking Backwards. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2019, XLII-2/W14, 1–130, doi:10.5194/isprsarchives-XLII-2-W14-1-2019.
 
7.
Markiewicz, J.; Górecka, K.; Zawieska, D.; Zieliński, M.; Łapiński, S.; Kot, P. THE INTEGRATION OF THE MULTI-TEMPORAL CONSERVATION WORKS AND NONINVASIVE MEASUREMENTS. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2022, XLVI-2/W1-, 343–349, doi:10.5194/isprs-archives-XLVI-2-W1-2022-343-2022.
 
8.
Sauerbier, M.; Eisenbeiss, H. Uavs for the Documentation of Archaeological Excavations. Proc. Isprs Comm. V Mid-Term Symp. Close Range Image Meas. Tech. 2010, 38, 526–531.
 
9.
Moussa, W. Integration of Digital Photogrammetry and Laser Scanning for; 2006; Vol. 35; ISBN 9783769651379.
 
10.
Nocerino, E.; Poiesi, F.; Locher, A.; Tefera, Y.T.; Remondino, F.; Chippendale, P.; Van Gool, L. 3D Reconstruction With a Collaborative Approach Based on Smartphones and a Cloud-Based Server. ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2017, XLII2/W8, 187–194, doi:10.5194/isprs-archives-XLII-2-W8-187-2017.
 
11.
Aicardi, I.; Chiabrando, F.; Maria Lingua, A.; Noardo, F. Recent trends in cultural heritage 3D survey: The photogrammetric computer vision approach. J. Cult. Herit. 2018, 32, 257–266, doi:10.1016/j.culher.2017.11.006.
 
12.
Luhmann, T.; Robson, S.; Kyle, S.; Boehm, J. Close-Range Photogrammetry and 3D Imaging; 2015; Vol. 81; ISBN 9783110302691.
 
13.
Rules, T.H.E.G. CIPA 3x3_rules 20131018. 1994, 1994.
 
14.
Osiński, P.; Markiewicz, J.; Nowisz, J.; Remiszewski, M.; Rasiński, A.; Sitnik, R. A Novel Approach for Dynamic (4d) Multi-View Stereo System Camera Network Design. Sensors 2022, 22, 1576, doi:10.3390/s22041576.
 
15.
Vu, H.H.; Labatut, P.; Pons, J.P.; Keriven, R. High accuracy and visibility-consistent dense multiview stereo. IEEE Trans. Pattern Anal. Mach. Intell. 2012, 34, 889–901, doi:10.1109/TPAMI.2011.172.
 
16.
Markiewicz, J.; Kajdewicz, I.; Zawieska, D. The analysis of selected orientation methods of architectural objects? scans. 2015, 9528, 952805, doi:10.1117/12.2184959.
 
17.
Alsadik, B.; Gerke, M.; Vosselman, G. Automated camera network design for 3D modelling of cultural heritage objects. J. Cult. Herit. 2013, 14, 515–526, doi:10.1016/j.culher.2012.11.007.
 
18.
Apollonio, F.I.; Ballabeni, A.; Gaiani, M.; Remondino, F. Evaluation of feature-based methods for automated network orientation. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch. 2014, 40, 47–54, doi:10.5194/isprsarchives-XL-5 47-2014.
 
19.
Fraser, C.S. Network design. Photogrammetry and Machine Vision; 1996;.
 
20.
El-Hakim, S.F.; Lapointe, J.-F.; Whiting, E. Digital reconstruction and 4D presentation through time. ACM SIGGRAPH 2008 talks - SIGGRAPH '08 2008, 1, doi:10.1145/1401032.1401089.
 
21.
Van Genchten, B. Theory and practice on Terrestrial Laser Scanning. Learn. tools Adv. three-dimensional Surv. risk Aware. Proj. 2008, 1–241, doi:978-84-8363-312-0. 22.
 
22.
Bianco, S.; Ciocca, G.; Marelli, D. Evaluating the Performance of Structure from Motion Pipelines. J. Imaging 2018, 4, 98, doi:10.3390/jimaging4080098.
 
23.
Shen, S. Accurate multiple view 3D reconstruction using patch-based stereo for largescale scenes. IEEE Trans. Image Process. 2013, 22, 1901–1914, doi:10.1109/TIP.2013.2237921.
 
24.
Dominik, W. Exploiting the Redundancy of Multiple Overlapping Aerial Images for Dense Image Matching Based Digital Surface Model Generation. Remote Sens. 2017, 9, 490, doi:10.3390/rs9050490.
 
eISSN:2753-4154
Journals System - logo
Scroll to top