Completing point clouds using structural constraints for large-scale points absence in 3D building reconstruction
B Zhao, X Chen, X Hua, W Xuan, DD Lichti - ISPRS Journal of …, 2023 - Elsevier
The completion of point cloud directly affects the accuracy of primitive parameter extraction
and 3D reconstruction. Due to the limitations of sensor scanning, point cloud are often …
and 3D reconstruction. Due to the limitations of sensor scanning, point cloud are often …
A framework for fully automated reconstruction of semantic building model at urban-scale using textured LoD2 data
Abstract The CityGML Level of Detail 3 (LoD3), a widely adopted standard for three-
dimensional (3D) city modeling, has been accessible for an extended period. However, its …
dimensional (3D) city modeling, has been accessible for an extended period. However, its …
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
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 …
challenge. Unlike mesh-based models, they require watertight geometry and object-wise …
Reconstructing facade details using MLS point clouds and Bag-of-Words approach
In the reconstruction of façade elements, the identification of specific object types remains
challenging and is often circumvented by rectangularity assumptions or the use of bounding …
challenging and is often circumvented by rectangularity assumptions or the use of bounding …
MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models
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 …
applications, they have yet to be available. The primary challenges in creating such models …
Classifying point clouds at the facade-level using geometric features and deep learning networks
Abstract 3D building models with facade details are playing an important role in many
applications now. Classifying point clouds at facade-level is key to create such digital …
applications now. Classifying point clouds at facade-level is key to create such digital …
[HTML][HTML] Machine Learning-Based Monitoring for Planning Climate-Resilient Conservation of Built Heritage
The increasing frequency and intensity of extreme weather events are accelerating the
mechanisms of surface degradation of heritage buildings, and it is therefore appropriate to …
mechanisms of surface degradation of heritage buildings, and it is therefore appropriate to …
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset
Facade semantic segmentation is a long-standing challenge in photogrammetry and
computer vision. Although the last decades have witnessed the influx of facade …
computer vision. Although the last decades have witnessed the influx of facade …
Semantic segmentation of large-scale point clouds by integrating attention mechanisms and transformer models
T Yuan, Y Yu, X Wang - Image and Vision Computing, 2024 - Elsevier
In the current field of point cloud processing, semantic segmentation of large-scale point
clouds remains a challenging problem. Traditional methods often underperform when faced …
clouds remains a challenging problem. Traditional methods often underperform when faced …
[HTML][HTML] Intelligent pattern design using 3D modelling technology for urban sculpture designing
W Wan - Systems and Soft Computing, 2025 - Elsevier
Abstract 3D modeling is actuality hired more and more by cities to improve urban planning
and cultural protection. Sculptures in settlements are the main goal of this investigate into a …
and cultural protection. Sculptures in settlements are the main goal of this investigate into a …