Deep learning based point cloud registration: an overview
Point cloud registration aims to find a rigid transformation for aligning one point cloud to
another. Such registration is a fundamental problem in computer vision and robotics, and …
another. Such registration is a fundamental problem in computer vision and robotics, and …
A review of point cloud registration algorithms for laser scanners: applications in large-scale aircraft measurement
H Si, J Qiu, Y Li - Applied Sciences, 2022 - mdpi.com
As 3D acquisition equipment picks up steam, point cloud registration has been applied in
ever-increasing fields. This paper provides an exhaustive survey of the field of point cloud …
ever-increasing fields. This paper provides an exhaustive survey of the field of point cloud …
Rigid pairwise 3D point cloud registration: a survey
Over the past years, 3D point cloud registration has attracted unprecedented attention.
Researchers develop various approaches to tackle the challenging task, such as …
Researchers develop various approaches to tackle the challenging task, such as …
A statistical manifold framework for point cloud data
Many problems in machine learning involve data sets in which each data point is a point
cloud in $\mathbb {R}^ D $. A growing number of applications require a means of measuring …
cloud in $\mathbb {R}^ D $. A growing number of applications require a means of measuring …
Joint rigid registration of multiple generalized point sets with hybrid mixture models
Aligning different views or representations of anatomy is an essential task in both medical
imaging computing (MIC) and computer-assisted interventions'(CAIs') communities …
imaging computing (MIC) and computer-assisted interventions'(CAIs') communities …
Robust generalized point cloud registration with orientational data based on expectation maximization
This paper introduces a robust generalized point cloud (PC) registration method that utilizes
not only the positional but also the orientation information associated with each point. The …
not only the positional but also the orientation information associated with each point. The …
Reliable hybrid mixture model for generalized point set registration
Point set registration (PSR) is an essential problem in the field of surgical navigation and
augmented reality (AR). In surgical navigation, the aim of registration is mapping the pre …
augmented reality (AR). In surgical navigation, the aim of registration is mapping the pre …
Generalized 3-D point set registration with hybrid mixture models for computer-assisted orthopedic surgery: From isotropic to anisotropic positional error
Registering two point sets (PSs) is an essential problem in medical robotics and computer-
assisted surgery (CAS). As one typical example, in computer-assisted orthopedic surgery …
assisted surgery (CAS). As one typical example, in computer-assisted orthopedic surgery …
3-D rigid point set registration for computer-assisted orthopedic surgery (CAOS): A review from the algorithmic perspective
is an important problem in computer-assisted orthopedic surgery (CAOS). As one typical
example, the pre-operative space where the patient-specific surgical plan is usually made …
example, the pre-operative space where the patient-specific surgical plan is usually made …
Statistical model of total target registration error in image-guided surgery
In a paired-point rigid registration, target registration error (TRE) is deemed to be the most
important quality metric. TRE usually cannot be directly measured, and thus many TRE …
important quality metric. TRE usually cannot be directly measured, and thus many TRE …