Linking points with labels in 3D: A review of point cloud semantic segmentation
Ripe with possibilities offered by deep-learning techniques and useful in applications
related to remote sensing, computer vision, and robotics, 3D point cloud semantic …
related to remote sensing, computer vision, and robotics, 3D point cloud semantic …
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
This study had two main aims:(1) to provide a comprehensive review of terrestrial laser
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
Automatic region-growing system for the segmentation of large point clouds
This article describes a complete unsupervised system for the segmentation of massive 3D
point clouds. Our system bridges the missing components that permit to go from 99 …
point clouds. Our system bridges the missing components that permit to go from 99 …
Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds
This paper investigates the viability of using synthetic point clouds generated from building
information models (BIMs) to train deep neural networks to perform semantic segmentation …
information models (BIMs) to train deep neural networks to perform semantic segmentation …
RANSAC-based multi primitive building reconstruction from 3D point clouds
Building model reconstruction from 3D point clouds has been investigated for several
decades with increasing interests. Building models represented by one or more parametric …
decades with increasing interests. Building models represented by one or more parametric …
Point2Roof: End-to-end 3D building roof modeling from airborne LiDAR point clouds
Abstract Three-dimensional (3D) building roof reconstruction from airborne LiDAR point
clouds is an important task in photogrammetry and computer vision. To automatically …
clouds is an important task in photogrammetry and computer vision. To automatically …
Three-dimensional point cloud semantic segmentation for cultural heritage: a comprehensive review
S Yang, M Hou, S Li - Remote Sensing, 2023 - mdpi.com
In the cultural heritage field, point clouds, as important raw data of geomatics, are not only
three-dimensional (3D) spatial presentations of 3D objects but they also have the potential …
three-dimensional (3D) spatial presentations of 3D objects but they also have the potential …
Toward building and civil infrastructure reconstruction from point clouds: A review on data and key techniques
Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
Geometric primitives in LiDAR point clouds: A review
To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …
surveys have been focused only on specific applications such as reconstruction and …
A critical review of discontinuity plane extraction from 3D point cloud data of rock mass surfaces
Field investigations of geometric discontinuity properties in rock masses are increasingly
using three-dimensional point cloud data. These point clouds sample the rock mass surface …
using three-dimensional point cloud data. These point clouds sample the rock mass surface …