Photogrammetry in a Virtual Environment
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50051-0_5
Reference18 articles.
1. Li, Q., Huang, H., Yu, W., Jiang, S.: Optimized views photogrammetry: precision analysis and a large-scale case study in Qingdao. IEEE J. Select. Top. Appl. Earth Observations Remote Sens. 16, 1144–1159 (2023)
2. Top 8 Best Photogrammetry Software. https://manufactur3dmag.com/top-8-best-photogrammetry-software-free-paid/. Accessed 28 Feb 2021
3. Qureshi, A.H., et al.: Evaluation of photogrammetry tools following progress detection of rebar towards sustainable construction processes. Sustainability 15(1), 21 (2023)
4. Franas, E., Kočiško, M., Kaščak, J., Hlavatá, S., Vodilka, A.: Virtual reality and its possible integration into the process of distance learning focused on technically oriented subjects. In: IOP Conference Series: Materials Science and Engineering, vol. 1199, no. 1, p. 012028. IOP Publishing (2021)
5. Jasińska, A., Pyka, K., Pastucha, E., Midtiby, H.S.: A simple way to reduce 3D model deformation in smartphone photogrammetry. Sensors 23(2), 728 (2023)
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