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 …
A Survey of Non‐Rigid 3D Registration
Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …
A Bayesian formulation of coherent point drift
O Hirose - IEEE transactions on pattern analysis and machine …, 2020 - ieeexplore.ieee.org
Coherent point drift is a well-known algorithm for solving point set registration problems, ie,
finding corresponding points between shapes represented as point sets. Despite its …
finding corresponding points between shapes represented as point sets. Despite its …
Recurrent multi-view alignment network for unsupervised surface registration
Learning non-rigid registration in an end-to-end manner is challenging due to the inherent
high degrees of freedom and the lack of labeled training data. In this paper, we resolve …
high degrees of freedom and the lack of labeled training data. In this paper, we resolve …
Acceleration of non-rigid point set registration with downsampling and Gaussian process regression
O Hirose - IEEE Transactions on Pattern Analysis and Machine …, 2020 - ieeexplore.ieee.org
Non-rigid point set registration is the process of transforming a shape represented as a point
set into a shape matching another shape. In this paper, we propose an acceleration method …
set into a shape matching another shape. In this paper, we propose an acceleration method …
Coherent point drift revisited for non-rigid shape matching and registration
In this paper, we explore a new type of extrinsic method to directly align two geometric
shapes with point-to-point correspondences in ambient space by recovering a deformation …
shapes with point-to-point correspondences in ambient space by recovering a deformation …
Gravitational approach for point set registration
In this paper a new astrodynamics inspired rigid point set registration algorithm is introduced-
-the Gravitational Approach (GA). We formulate point set registration as a modified N-body …
-the Gravitational Approach (GA). We formulate point set registration as a modified N-body …
Point cloud registration: A mini-review of current state, challenging issues and future directions
N Brightman, L Fan, Y Zhao - AIMS Geosciences, 2023 - scholar.xjtlu.edu.cn
A point cloud is a set of data points in space. Point cloud registration is the process of
aligning two or more 3D point clouds collected from different locations of the same scene …
aligning two or more 3D point clouds collected from different locations of the same scene …
Dispvoxnets: Non-rigid point set alignment with supervised learning proxies
We introduce a supervised-learning framework for nonrigid point set alignment of a new kind-
Displacements on Voxels Networks (DispVoxNets)-which abstracts away from the point set …
Displacements on Voxels Networks (DispVoxNets)-which abstracts away from the point set …
MI-NDT: Multi-scale Iterative Normal Distribution Transform for Registering Large-scale Outdoor Scans
Y Shen, B Zhang, J Wang, Y Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Point cloud registration is crucial for various applications such as robotics and urban
planning, yet it remains challenging due to issues such as noise, variable resolutions, and …
planning, yet it remains challenging due to issues such as noise, variable resolutions, and …