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20202024
most citedCity3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

134 citations · 306 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Building-PCC: Building Point Cloud Completion Benchmarks

Weixiao Gao, Ravi Peters, Jantien Stoter

With the rapid advancement of 3D sensing technologies, obtaining 3D shape information of objects has become increasingly convenient. Lidar technology, with its capability to accura…

cs.CV2023

Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction

Weixiao Gao, Ravi Peters, Jantien Stoter

This paper discusses the reconstruction of LoD2 building models from 2D and 3D data for large-scale urban environments. Traditional methods involve the use of LiDAR point clouds, b…

cs.CV2022★ 13 cited

Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds

Shenglan Du, Nail Ibrahimli, Jantien Stoter +2

Feedforward fully convolutional neural networks currently dominate in semantic segmentation of 3D point clouds. Despite their great success, they suffer from the loss of local info…

cs.CV2022★ 134 cited

City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

Jin Huang, Jantien Stoter, Ravi Peters +1

We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne…

cs.CV2021★ 2 cited

Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands

Ravi Peters, Balázs Dukai, Stelios Vitalis +2

In this paper we present our workflow to automatically reconstruct 3D building models based on 2D building polygons and a LiDAR point cloud. The workflow generates models at differ…

cs.CV2021★ 40 cited

GlobalMatch: Registration of Forest Terrestrial Point Clouds by Global Matching of Relative Stem Positions

Xufei Wang, Zexin Yang, Xiaojun Cheng +4

Registering point clouds of forest environments is an essential prerequisite for LiDAR applications in precision forestry. State-of-the-art methods for forest point cloud registrat…