Saad, S. and Ammad, S. and Rasheed, K. and Balbehaith, M. and Qureshi, A.H. and Bashir, M.T. (2023) Enhancing Construction Management In Restoration Through BIM-Assisted Photogrammetric 3D Model Accuracy Assessment. In: UNSPECIFIED.
Full text not available from this repository.Abstract
This paper presents a study on the accuracy assessment of 3D models generated through photogrammetry for monument restoration using Building Information Modeling (BIM) software. The point-to-plane distance equation was used to calculate the accuracy of the 3D models, and a root mean square error (RMSE) calculation was performed to compare the coordinates of specific points on the actual building with the coordinates of the corresponding points on the 3D model. The types of photogrammetric methods, including aerial and terrestrial photogrammetry, were also discussed, along with the two main techniques of terrestrial photogrammetry: close-range photogrammetry and industrial photogrammetry. Agisoft Metashape was used for close-range photogrammetry applications. The results showed that the point-to-plane distance equation and RMSE calculation are effective tools for assessing the accuracy of 3D models generated through photogrammetry for monument restoration using BIM. © 2023 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 0; Conference of 2023 International Conference on Sustaining Heritage: Innovative and Digital Approaches, ICSH 2023 ; Conference Date: 18 June 2023 Through 19 June 2023; Conference Code:198561 |
Uncontrolled Keywords: | 3D modeling; Antennas; Architectural design; Image reconstruction; Mean square error; Photogrammetry; Project management, 3D models; 3d-modeling; Accuracy assessment; Building Information Modelling; Close range photogrammetry; Distance equations; Error calculations; Monument restoration; Root mean square errors; Terrestrial photogrammetries, Restoration |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 04 Jun 2024 14:11 |
Last Modified: | 04 Jun 2024 14:11 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/18921 |