Issue |
E3S Web Conf.
Volume 502, 2024
2nd International Congress on Coastal Research (ICCR 2023)
|
|
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Article Number | 02007 | |
Number of page(s) | 6 | |
Section | Integrated Coastal Zone Management | |
DOI | https://doi.org/10.1051/e3sconf/202450202007 | |
Published online | 11 March 2024 |
The road toward smart city infrastructures: A review on 3d facade reconstruction using images
Geomatics, remote sensing and cartography Unit, FSTT, Abdelmalek Essaadi University, Tetouan, Morocco
* Corresponding author: youssef.arhrib@etu.uae.ac.ma
Numerous types of solid structures protect coastal activities and cities from the damaging effects of tides and waves all around the globe. Thus, having a three-dimensional digital representation of the physical environment would help decision-makers in understanding the dynamic nature of coastal environments and implementing effective mitigation strategies. Generally speaking, Feature matching, Structure from Motion (SFM) and Multi-View Stereo (MVS) algorithms are used in this order to achieve realistic results. The Literature shows that there is a constant evolution of new techniques and technologies either with learning based or hand-crafted approach, which gives a possibility to integrate different method to optimize each step of the three-dimensional reconstruction process. The aim of this paper is to present the progress of three-dimensional modelling methods that use ground-level images by providing an overview of the latest applications and a comparison of their results. Overall, the state-of-the-art in three-dimensional building modelling using ground-level imagery is rapidly evolving, and new ways are being developed to improve the efficiency, accuracy and scalability of the process
Key words: Smart cities / 3D building model / SFM / MVS / 3D reconstruction
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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