[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

F Biljecki, T Zhao, X Liang, Y Hou - International Journal of Applied Earth …, 2023 - Elsevier
Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …

[HTML][HTML] Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead

C Beil, TH Kolbe - ISPRS International Journal of Geo-Information, 2024 - mdpi.com
In addition to geometric accuracy, topological information, appearance and georeferenced
data, semantic capabilities are key strengths of digital 3D city models. This provides the …

Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks

O Wysocki, Y Xia, M Wysocki, E Grilli… - Proceedings of the …, 2023 - openaccess.thecvf.com
Reconstructing semantic 3D building models at the level of detail (LoD) 3 is a long-standing
challenge. Unlike mesh-based models, they require watertight geometry and object-wise …

Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification

O Wysocki, E Grilli, L Hoegner, U Stilla - arXiv preprint arXiv:2303.05998, 2023 - arxiv.org
Semantic 3D building models are widely available and used in numerous applications. Such
3D building models display rich semantics but no fa\c {c} ade openings, chiefly owing to their …

[HTML][HTML] From aerial LiDAR point clouds to multiscale urban representation levels by a parametric resampling

C Romanengo, B Falcidieno, S Biasotti - Computers & Graphics, 2024 - Elsevier
Urban simulations that involve disaster prevention, urban design, and assisted navigation
heavily rely on urban geometric models. While large urban areas need a lot of time to be …

MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models

O Wysocki, L Hoegner, U Stilla - International 3D GeoInfo Conference, 2023 - Springer
Although highly-detailed LoD3 building models reveal great potential in various
applications, they have yet to be available. The primary challenges in creating such models …

[HTML][HTML] Gap completion in point cloud scene occluded by vehicles using SGC-Net

Y Feng, Y Xu, Y Xia, C Brenner, M Sester - ISPRS Journal of …, 2024 - Elsevier
Recent advances in mobile mapping systems have greatly enhanced the efficiency and
convenience of acquiring urban 3D data. These systems utilize LiDAR sensors mounted on …

[HTML][HTML] Enhancing visual localization with only imperfect 3D models: A new perspective through neural rendering iterations

S Liu, Z Zheng, X Guo, Z Wen, Y Zhuang, Y Li - International Journal of …, 2024 - Elsevier
Visual localization, a camera pose estimation problem, is a core component of indoor
navigation applications. Visual localization methods based on image feature databases or …

Geometric edge convolution for rigid transformation invariant features in 3D point clouds

SA Bello, S Alfasly, J Mao, J Lu, L Li, C Xu, Y Zou - Neurocomputing, 2025 - Elsevier
Extracting rigid transformation invariant features is still a challenge on 3D point clouds
because rigid transformation changes the point coordinates, and relying on the point …

3D Modeling of Façade Elements Using Multi-View Images from Mobile Scanning Systems

A Salehitangrizi, S Jabari, M Sheng… - Canadian Journal of …, 2024 - Taylor & Francis
There is a growing demand for detailed building façade models (Level-of-Detail 3: LoD 3) in
a variety of applications. Despite the increasing number of papers addressing this issue in …