ORIGINAL ARTICLE
Analysis of the Applicability of Photogrammetry in Building Façade
 
More details
Hide details
1
Poznan University of Technology
 
 
Online publication date: 2022-10-13
 
 
Publication date: 2022-09-01
 
 
Civil and Environmental Engineering Reports 2022;32(3):182-206
 
KEYWORDS
ABSTRACT
This article evaluates the accuracy of 3D models made from point clouds obtained from photogrammetry. Photographs were taken from ground level and using a drone, and data processing was performed in 3DF Zephyr. The models were compared with the actual dimensions of the buildings. Four different building objects with varying degrees of complexity were analysed. The aim of the research is to analyse the conditions for taking photographs and how they are transformed into a point cloud, and to see how and whether the complexity of the shape of the facade affects the accuracy of the 3D model made from the point cloud. The inaccuracy of the point cloud in the form of point spread for all analysed cases was 1.8±0.4 cm on average. The largest measurement error was found in the case of a multi-storey building. Despite the presented inaccuracies, it was considered advantageous to use the point cloud obtained through photogrammetry in the inventory. No difference was observed in the accuracy of the model depending on the complexity of the building. Recommendations were made regarding the conditions for taking photographs.
 
REFERENCES (35)
1.
ASTM E2807-11(2019). Standard Specification for 3D Imaging Data Exchange. Version 1.0. https://www.astm.org/e2807-11r.... Accessed May 20, 2022.
 
2.
Błaszczak-Bąk, W, Suchocki, C and Mrówczyńska, M 2022. Optimization of point clouds for 3D bas-relief modeling. Automation in Construction 140.
 
3.
Brogan, DJ and Morgan, JA 2016. How to VisualSFM. Fort Collins: Colorado State University.
 
4.
Cappelletti, C, Boniardi, M, Casaroli, A, De Gaetani, CI, Passoni, D and Pinto, L 2019. Forensic engineering surveys with UAV photogrammetry and laser scanning techniques. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 1, 227–234.
 
5.
Cheok, G, Lytle, A and Saidi, K 2008. ASTM E57 3D Imaging Systems Committee: An Update. Proc. SPIE. Vol. 6950, Laser Radar Technology and Applications XIII, 116–126.
 
6.
Cunha, RR, Arrabala, CT, Dantasa, MM and Bassanellib, HR 2022. Laser scanner and drone photogrammetry: A statistical comparison between 3-dimensional models and its impacts on outdoor crime scene registration, Forensic Science International 330.
 
7.
Deliś, PB, Wilińska, M and Fryśkowska, AS 2014. Modelowanie 3D obiektów zabytkowych z wykorzystaniem techniki wideo [3D modelling of historic buildings using video technology], Biuletyn Wojskowej Akademii Technicznej 63, 2, 57–69. (in Polish).
 
8.
Frahm, JM, Pollefeys, M, Clipp, B, Gallup, D, Raguram, R, Wu, ChCh and Zach, Ch 2009. 3d reconstruction of architectural scenes from uncalibrated video sequences. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII(5/W1).
 
9.
Furukawa, Y and Hernández, C 2013. Multi-Viw Stereo: A Tutorial, now Publishers Inc. Foundations and Trends in Computer Graphics and Vision 9, 1–2, 1–148.
 
10.
Gardzińska, A 2021. Aapplication of terrestrial laser scanning for the inventory of historical buildings on the example of measuring the elevations of the buildings in the old market square in Jarosław, CEER 31 (2), 293–309.
 
11.
Gilles, A, Masoud, G, Raja, I 2022. Integration of a UAS-Photogrammetry Module in a Technology-based Construction Management Course, EPiC Series in Built Environment 3, 497–505.
 
12.
Hernandez, C, Vogiatzis, G and Cipolla, R 2008. Multi-view photometric stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence 3, 548–554.
 
13.
Huang, R, Xu, Y, Hoegner, L and Stilla, U 2022. Semantics-aided 3D change detection on construction sites using UAV-based photogrammetric point clouds, Automation in Construction 134.
 
14.
Jachimski, J 1997. Fotogrametryczna inwentaryzacja obiektów zabytkowych, [Photogrammetric inventory of historic buildings], Archiwum Fotogrametrii, Kartografii i Teledetekcji 7, 53–60. (in Polish).
 
15.
Kamnik, R, Nekrep Perc, M and Topolšek, D 2020. Using the scanners and drone for comparison of point cloud accuracy at traffic accident analysis, Analysis and Prevention 135.
 
16.
Kędzierski, M, Walczykowski, P and Fryśkowska, A 2008. Wybrane aspekty opracowania dokumentacji architektonicznej obiektów zabytkowych, [Selected aspects of developing architectural documentation for historic buildings], Archiwum Fotogrametrii, Kartografii i Teledetekcji 18. (in Polish).
 
17.
Marín-Buzón, C, Pérez-Romero, A, López-Castro, JL, Jerbania, IB and Manzano-Agugliaro, F 2021. Photogrammetry as a New Scientific Tool in Archaeology: Worldwide Research Trends. Sustainability 13 (9).
 
18.
Palčák, M, Kudela, P, Fandáková, M and Kordek, J 2022. Utilization of 3D Digital Technologies in the Documentation of Cultural Heritage: A Case Study of the Kunerad Mansion (Slovakia), Applied Sciences 12.
 
19.
Pepe, M and Costantino, D 2020. Techniques, Tools, Platforms and Algorithms in Close Range Photogrammetry in Building 3D Model and 2D Representation of Objects and Complex Architectures. Computer-Aided Design and Applications 5, 42–65.
 
20.
Piech, I, Kwoczynska, B and Ciszewski, A 2018. Reconstruction of an architectural object. Case study: Citadel fort No. 33 "Krakus" in Krakow, E3S Web of Conferences 63, (2), 00010.
 
21.
Puerta, APV, Jimenez-Rodriguez, RA, Fernandez-Vidal, S and Fernandez-Vidal, SR 2020. Photogrammetry as an Engineering Design Tool. In: C. Alexandru, C, Jaliu, C and Comşit, M (ed) Product Design. InTechOpen, 41–64.
 
22.
Razali, AF, Ariff, MFM and Majid, Z 2022. A hybrid point cloud reality capture from terrestrial laser scanning and uav-photogrammetry, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLVI-2/W1-2022, 459–463.
 
23.
Remondino, F and Rizzi, A 2010. Reality-based 3D documentation of natural and cultural heritage sites—techniques, problems, and examples, Applied Geomatics 2, 85–100.
 
24.
Sabil, A, Mahmud, NAA, Utaberta, N, Amin, NDN, Asif, N and Yousof, H 2022. The Application of Photogrammetry in Architecture Historical Documentation: The measured drawing of Tanjung Sembrong Mosque and Teratak Selari Bonda. IOP Conf. Ser.: Earth Environ. Sci. 1022 012007.
 
25.
Shih, NJ, Wu, YC 2022. AR-Based 3D Virtual Reconstruction of Brick Details. Remote Sensing 14.
 
26.
Siewczyński, B 2004. Zabytki architektoniczne Ostrowa Lednickiego w rekonstrukcji komputerowej, [Architectural monuments of Ostrów Lednicki in computer reconstruction]. Biblioteka Studiów Lednickich X. (in Polish).
 
27.
Skrzypczak, I, Oleniacz, G, Leśniak, A, Zima, K, Mrówczyńska, M and Kazak, JK 2022. Scan-to-BIM method in construction: assessment of the 3D buildings model accuracy in terms inventory, Building Research & Information 1.
 
28.
Szarata, A 2022. Nowoczesne technologie w budownictwie LIDAR, BIM, GIS, AI – wybrane zagadnienia, [Modern technologies in construction LIDAR, BIM, GIS, AI - selected issues]. Przegląd Budowlany 3–4. (in polish).
 
29.
Tan, Y, Li, G, Cai, R, Ma, J and Wamg, M 2022. Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection. Automation in Construction 139.
 
30.
Tanskanen, P, Kolev, K, Meier, L, Camposeco, F, Saurer, O and Pollefeys, M 2013. Live metric 3D reconstruction on mobile phones. In Proceedings of the IEEE International Conference on Computer Vision, 65–72.
 
31.
Wajs, J 2016. Ocena możliwości zastosowania fotogrametrii cyfrowej do modelowania informacji o budowlach [Assessing the applicability of digital photogrammetry for modelling building information]. In Interdyscyplinarne zagadnienia w górnictwie i geologii 6, 95–99. (in Polish).
 
32.
Zawieska, D, Markiewicz, J and Łuba, M 2019. Macro photogrammetry in inventory of historical engravings at the royal castle in Warsaw. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-2/W9, 795–800.
 
33.
Zhou, K, Meng, X and Cheng, B 2020. Review of Stereo Matching Algorithms Based on Deep Learning, Hindawi. Computational Intelligence and Neuroscience 2020.
 
34.
Zuza, M. Photogrammetry – 3D scanning with just your phone/camera, [Online]. Available: https://blog.prusa3d.com/photo.... Accessed March 13, 2022.
 
35.
3Dflow, 3DF ZEPHYR 6.5 User Manual, 2022, [Online], http://3dflow.net/zephyr-doc/3... Aaccessed May 20, 2022.
 
eISSN:2450-8594
ISSN:2080-5187
Journals System - logo
Scroll to top