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Smart city article details

Title	3D Map Reconstruction Using A Monocular Camera For Smart Cities
ID_Doc	138
Authors	Hu Y.; Fu T.; Niu G.; Liu Z.; Pun M.-O.
Year	2022
Published	Journal of Supercomputing, 78, 14
DOI	http://dx.doi.org/10.1007/s11227-022-04512-5
Abstract	Large-scale high-resolution three-dimensional (3D) maps play a vital role in the development of smart cities. In this work, a novel deep learning-based multi-view-stereo method is proposed for reconstructing the 3D maps in large-scale urban environments by exploiting a monocular camera. Compared with other existing works, the proposed method can perform 3D depth estimation more efficiently in terms of computational complexity and graphics processing unit memory usage. As a result, the proposed method can practically perform depth estimation for each pixel before generating 3D maps for even large-scale scenes. Extensive experiments on the well-known DTU dataset and real-life data collected on our campus confirm the good performance of the proposed method. © 2022, The Author(s).
Author Keywords	3D reconstruction; Deep learning; Dense map; Smart cities

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