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Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements
IEEE Transactions on Visualization and Computer Graphics
Swansea University Authors:
Andreas Christodoulides, Gary Tam , Richard Smith
, Nicholas Micallef
, Nelly Villamizar
, Sean Walton
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy.
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DOI (Published version): 10.1109/TVCG.2025.3540669
Abstract
3D representations of large-scale and urban scenes are crucial across various industries, including autonomous driving, urban planning, natural resource supervision and many more. Large-scale industrial reconstructions are inherently complex and multifaceted. Many existing surveys primarily focus on...
Published in: | IEEE Transactions on Visualization and Computer Graphics |
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ISSN: | 1077-2626 1941-0506 |
Published: |
IEEE
2025
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68829 |
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2025-05-03T04:42:01Z |
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spelling |
2025-05-02T14:12:01.2585566 v2 68829 2025-02-07 Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements 26e0abf1d9763a390d51a769433893cc Andreas Christodoulides Andreas Christodoulides true false e75a68e11a20e5f1da94ee6e28ff5e76 0000-0001-7387-5180 Gary Tam Gary Tam true false c91a932b3bc4c9ab9297b67800c95e08 0000-0003-0318-8494 Richard Smith Richard Smith true false 1cc4c84582d665b7ee08fb16f5454671 0000-0002-2683-8042 Nicholas Micallef Nicholas Micallef true false 41572bcee47da6ba274ecd1828fbfef4 0000-0002-8741-7225 Nelly Villamizar Nelly Villamizar true false 0ec10d5e3ed3720a2d578417a894cf49 0000-0002-6451-265X Sean Walton Sean Walton true false 2025-02-07 MACS 3D representations of large-scale and urban scenes are crucial across various industries, including autonomous driving, urban planning, natural resource supervision and many more. Large-scale industrial reconstructions are inherently complex and multifaceted. Many existing surveys primarily focus on academic progressions and often neglect the intricate and diverse needs of industry. This survey aims to bridge this gap by providing a comprehensive analysis of 3D reconstruction methods, with a focus on industrial requirements such as scalability and integration of human interaction. Our approach involves utilizing Affinity Diagramming to systematically analyze qualitative data gathered from industrial partners. This methodology enables us to gain deep insights into how recent literature addresses these specific industrial needs. The survey encompasses various aspects, including input and reconstruction modalities, architectural models, datasets, evaluation metrics, and the incorporation of prior knowledge. We further discuss practical implications derived from our analysis, highlighting key considerations for future advancements in 3D reconstruction methods tailored for large-scale applications. Journal Article IEEE Transactions on Visualization and Computer Graphics 0 IEEE 1077-2626 1941-0506 Three-dimensional displays, Image reconstruction, Surveys, Solid modeling, Deep learning, Surface reconstruction, Simultaneous localization and mapping, Scalability, Point cloud compression, Computational modeling 19 2 2025 2025-02-19 10.1109/TVCG.2025.3540669 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required EPSRC, EP/S021892/1 2025-05-02T14:12:01.2585566 2025-02-07T13:09:58.9841788 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Andreas Christodoulides 1 Gary Tam 0000-0001-7387-5180 2 James Clarke 3 Richard Smith 0000-0003-0318-8494 4 Jon Horgan 5 Nicholas Micallef 0000-0002-2683-8042 6 Jeremy Morley 7 Nelly Villamizar 0000-0002-8741-7225 8 Sean Walton 0000-0002-6451-265X 9 68829__33652__6a444609384e43feb4b347e818119679.pdf 68829.AAM with CC-BY.pdf 2025-02-19T15:54:46.8692273 Output 3333216 application/pdf Accepted Manuscript true 2025-03-15T00:00:00.0000000 Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy. true eng https://creativecommons.org/licenses/by/4.0/ |
title |
Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements |
spellingShingle |
Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements Andreas Christodoulides Gary Tam Richard Smith Nicholas Micallef Nelly Villamizar Sean Walton |
title_short |
Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements |
title_full |
Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements |
title_fullStr |
Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements |
title_full_unstemmed |
Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements |
title_sort |
Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements |
author_id_str_mv |
26e0abf1d9763a390d51a769433893cc e75a68e11a20e5f1da94ee6e28ff5e76 c91a932b3bc4c9ab9297b67800c95e08 1cc4c84582d665b7ee08fb16f5454671 41572bcee47da6ba274ecd1828fbfef4 0ec10d5e3ed3720a2d578417a894cf49 |
author_id_fullname_str_mv |
26e0abf1d9763a390d51a769433893cc_***_Andreas Christodoulides e75a68e11a20e5f1da94ee6e28ff5e76_***_Gary Tam c91a932b3bc4c9ab9297b67800c95e08_***_Richard Smith 1cc4c84582d665b7ee08fb16f5454671_***_Nicholas Micallef 41572bcee47da6ba274ecd1828fbfef4_***_Nelly Villamizar 0ec10d5e3ed3720a2d578417a894cf49_***_Sean Walton |
author |
Andreas Christodoulides Gary Tam Richard Smith Nicholas Micallef Nelly Villamizar Sean Walton |
author2 |
Andreas Christodoulides Gary Tam James Clarke Richard Smith Jon Horgan Nicholas Micallef Jeremy Morley Nelly Villamizar Sean Walton |
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Journal article |
container_title |
IEEE Transactions on Visualization and Computer Graphics |
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2025 |
institution |
Swansea University |
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1077-2626 1941-0506 |
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10.1109/TVCG.2025.3540669 |
publisher |
IEEE |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
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description |
3D representations of large-scale and urban scenes are crucial across various industries, including autonomous driving, urban planning, natural resource supervision and many more. Large-scale industrial reconstructions are inherently complex and multifaceted. Many existing surveys primarily focus on academic progressions and often neglect the intricate and diverse needs of industry. This survey aims to bridge this gap by providing a comprehensive analysis of 3D reconstruction methods, with a focus on industrial requirements such as scalability and integration of human interaction. Our approach involves utilizing Affinity Diagramming to systematically analyze qualitative data gathered from industrial partners. This methodology enables us to gain deep insights into how recent literature addresses these specific industrial needs. The survey encompasses various aspects, including input and reconstruction modalities, architectural models, datasets, evaluation metrics, and the incorporation of prior knowledge. We further discuss practical implications derived from our analysis, highlighting key considerations for future advancements in 3D reconstruction methods tailored for large-scale applications. |
published_date |
2025-02-19T07:40:07Z |
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1836697473031077888 |
score |
11.06703 |