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 …
A review of deep learning-based semantic segmentation for point cloud
J Zhang, X Zhao, Z Chen, Z Lu - IEEE access, 2019 - ieeexplore.ieee.org
In recent years, the popularity of depth sensors and 3D scanners has led to a rapid
development of 3D point clouds. Semantic segmentation of point cloud, as a key step in …
development of 3D point clouds. Semantic segmentation of point cloud, as a key step in …
Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …
semantic label has become a topic of great importance in photogrammetry, remote sensing …
Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (NZ)
Surveying techniques such as terrestrial laser scanner have recently been used to measure
surface changes via 3D point cloud (PC) comparison. Two types of approaches have been …
surface changes via 3D point cloud (PC) comparison. Two types of approaches have been …
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
Building information models (BIMs) are maturing as a new paradigm for storing and
exchanging knowledge about a facility. BIMs constructed from a CAD model do not …
exchanging knowledge about a facility. BIMs constructed from a CAD model do not …
Aligning point cloud views using persistent feature histograms
In this paper we investigate the usage of persistent point feature histograms for the problem
of aligning point cloud data views into a consistent global model. Given a collection of noisy …
of aligning point cloud data views into a consistent global model. Given a collection of noisy …
Dimensionality based scale selection in 3D lidar point clouds
This papers presents a multi-scale method that computes robust geometric features on lidar
point clouds in order to retrieve the optimal neighborhood size for each point. Three …
point clouds in order to retrieve the optimal neighborhood size for each point. Three …
Shape-based recognition of 3D point clouds in urban environments
A Golovinskiy, VG Kim… - 2009 IEEE 12th …, 2009 - ieeexplore.ieee.org
This paper investigates the design of a system for recognizing objects in 3D point clouds of
urban environments. The system is decomposed into four steps: locating, segmenting …
urban environments. The system is decomposed into four steps: locating, segmenting …
Natural terrain classification using three‐dimensional ladar data for ground robot mobility
In recent years, much progress has been made in outdoor autonomous navigation.
However, safe navigation is still a daunting challenge in terrain containing vegetation. In this …
However, safe navigation is still a daunting challenge in terrain containing vegetation. In this …
Scanning technologies to building information modelling: A review
Building information modelling (BIM) is evolving significantly in the architecture, engineering
and construction industries. BIM involves various remote-sensing tools, procedures and …
and construction industries. BIM involves various remote-sensing tools, procedures and …