A tutorial review on point cloud registrations: principle, classification, comparison, and technology challenges
A point cloud as a collection of points is poised to bring about a revolution in acquiring and
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …
Rpm-net: Robust point matching using learned features
Abstract Iterative Closest Point (ICP) solves the rigid point cloud registration problem
iteratively in two steps:(1) make hard assignments of spatially closest point …
iteratively in two steps:(1) make hard assignments of spatially closest point …
How to make sense of 3D representations for plant phenoty**: a compendium of processing and analysis techniques
Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenoty** is following this trend. However, despite its potential, the …
approach, and plant phenoty** is following this trend. However, despite its potential, the …
Point set registration: Coherent point drift
A Myronenko, X Song - IEEE transactions on pattern analysis …, 2010 - ieeexplore.ieee.org
Point set registration is a key component in many computer vision tasks. The goal of point
set registration is to assign correspondences between two sets of points and to recover the …
set registration is to assign correspondences between two sets of points and to recover the …
Robust point set registration using gaussian mixture models
In this paper, we present a unified framework for the rigid and nonrigid point set registration
problem in the presence of significant amounts of noise and outliers. The key idea of this …
problem in the presence of significant amounts of noise and outliers. The key idea of this …
[KÖNYV][B] Statistical shape analysis: with applications in R
A thoroughly revised and updated edition of this introduction to modern statistical methods
for shape analysis Shape analysis is an important tool in the many disciplines where objects …
for shape analysis Shape analysis is an important tool in the many disciplines where objects …
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 …
Multi-scale EM-ICP: A fast and robust approach for surface registration
S Granger, X Pennec - Computer Vision—ECCV 2002: 7th European …, 2002 - Springer
We investigate in this article the rigid registration of large sets of points, generally sampled
from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estimation …
from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estimation …
Non-rigid point set registration: Coherent point drift
A Myronenko, X Song… - Advances in neural …, 2006 - proceedings.neurips.cc
Abstract We introduce Coherent Point Drift (CPD), a novel probabilistic method for nonrigid
registration of point sets. The registration is treated as a Maximum Likelihood (ML) …
registration of point sets. The registration is treated as a Maximum Likelihood (ML) …
A robust algorithm for point set registration using mixture of Gaussians
This paper proposes a novel and robust approach to the point set registration problem in the
presence of large amounts of noise and outliers. Each of the point sets is represented by a …
presence of large amounts of noise and outliers. Each of the point sets is represented by a …