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 …
Point cloud registration for LiDAR and photogrammetric data: A critical synthesis and performance analysis on classic and deep learning algorithms
Abstract Three-dimensional (3D) point cloud registration is a fundamental step for many 3D
modeling and mapping applications. Existing approaches are highly disparate in the data …
modeling and mapping applications. Existing approaches are highly disparate in the data …
[HTML][HTML] State of research in automatic as-built modelling
Abstract Building Information Models (BIMs) are becoming the official standard in the
construction industry for encoding, reusing, and exchanging information about structural …
construction industry for encoding, reusing, and exchanging information about structural …
A review of recent range image registration methods with accuracy evaluation
The three-dimensional reconstruction of real objects is an important topic in computer vision.
Most of the acquisition systems are limited to reconstruct a partial view of the object …
Most of the acquisition systems are limited to reconstruct a partial view of the object …
Least squares 3D surface and curve matching
The automatic co-registration of point clouds, representing 3D surfaces, is a relevant
problem in 3D modeling. This multiple registration problem can be defined as a surface …
problem in 3D modeling. This multiple registration problem can be defined as a surface …
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 …
Fully automatic registration of 3D point clouds
A Makadia, A Patterson… - 2006 IEEE Computer …, 2006 - ieeexplore.ieee.org
We propose a novel technique for the registration of 3D point clouds which makes very few
assumptions: we avoid any manual rough alignment or the use of landmarks, displacement …
assumptions: we avoid any manual rough alignment or the use of landmarks, displacement …
Pairwise coarse registration of point clouds in urban scenes using voxel-based 4-planes congruent sets
To ensure complete coverage when measuring a large-scale urban area, pairwise
registration between point clouds acquired via terrestrial laser scanning or stereo image …
registration between point clouds acquired via terrestrial laser scanning or stereo image …
Automatic registration of large-scale urban scene point clouds based on semantic feature points
Point clouds collected by terrestrial laser scanning (TLS) from large-scale urban scenes
contain a wide variety of objects (buildings, cars, pole-like objects, and others) with …
contain a wide variety of objects (buildings, cars, pole-like objects, and others) with …
Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge
Automatic 3D point cloud registration is a main issue in computer vision and remote sensing.
One of the most commonly adopted solution is the well-known Iterative Closest Point (ICP) …
One of the most commonly adopted solution is the well-known Iterative Closest Point (ICP) …