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

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

Jin Huang
J. Stoter
Ravi Peters
Liangliang Nan
    3DV
ArXivPDFHTML

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

5 / 5 papers shown
Title
LOD1 3D City Model from LiDAR: The Impact of Segmentation Accuracy on Quality of Urban 3D Modeling and Morphology Extraction
LOD1 3D City Model from LiDAR: The Impact of Segmentation Accuracy on Quality of Urban 3D Modeling and Morphology Extraction
Fatemeh Chajaei
Hossein Bagheri
3DV
3DPC
AI4CE
180
0
0
20 May 2025
Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset
Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset
G. Can
Dario Mantegazza
Gabriele Abbate
S. Chappuis
Alessandro Giusti
3DPC
42
48
0
23 Dec 2020
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
Nina M. Varney
V. Asari
Quinn Graehling
3DV
3DPC
50
145
0
14 Apr 2020
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
154
2,535
0
18 Apr 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
481
14,309
0
02 Dec 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.