UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Exploring Existing 3d Reconstruction Tools for the Generation of 3d City Models at Various Lod From a Single Data Source

Muñumer Herrero, E; Ellul, C; Cavazzi, S; (2022) Exploring Existing 3d Reconstruction Tools for the Generation of 3d City Models at Various Lod From a Single Data Source. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , X-4/W2 pp. 209-216. 10.5194/isprs-annals-x-4-w2-2022-209-2022. Green open access

[thumbnail of isprs-annals-X-4-W2-2022-209-2022.pdf]
Preview
Text
isprs-annals-X-4-W2-2022-209-2022.pdf - Published Version

Download (1MB) | Preview

Abstract

Abstract. The use of three-dimensional (3D) city models has increased in a wide range of applications beyond visualisation. However, generation and maintenance of 3D data comes at a high cost, time, and workload. The purpose of the generalisation where coarser versions are obtained from a source data is of great interest for National Mapping and Cadastral Agencies (NMCA), which would benefit obtaining multiple 3D versions of an area from a single source. The main aim of the exploration presented in this paper is to study the potential of downsizing point clouds as an approach to generate 3D city models at multiple levels of detail from a single source and evaluate the steps required to ensure the output is fit for real world applications from an NMCA context. While interesting results are obtained when testing with sample data, no software managed to semi-automatically reconstruct 3D model for buildings of rather complicated geometry.

Type: Article
Title: Exploring Existing 3d Reconstruction Tools for the Generation of 3d City Models at Various Lod From a Single Data Source
Open access status: An open access version is available from UCL Discovery
DOI: 10.5194/isprs-annals-x-4-w2-2022-209-2022
Language: English
Additional information: © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Keywords: Point clouds, 3D reconstruction, 3D city model, 3D generalisation, level of detail, subsampling.
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10157658
Downloads since deposit
155Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item