ReviewSensors (Basel, Switzerland)2019
A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration.
Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
15 citing papers in PubMed.
- Automated Single-Sensor 3D Scanning and Modular Benchmark Objects for Human-Scale 3D Reconstruction.Sensors (Basel, Switzerland) · 2026Article
- Temporal reassignment and correspondence evaluation with quality control for time-course imaging of 3D cell culture.Cell reports methods · 2025Article
- A Registration Method Based on Ordered Point Clouds for Key Components of Trains.Sensors (Basel, Switzerland) · 2024Article
- SGRTmreg: A Learning-Based Optimization Framework for Multiple Pairwise Registrations.Sensors (Basel, Switzerland) · 2024Article
- Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images.BMC medical informatics and decision making · 2024Article
- Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration.Journal of imaging · 2023Article
- A digital workflow for pair matching of maxillary anterior teeth using a 3D segmentation technique for esthetic implant restorations.Scientific reports · 2022Article
- Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm.Journal of digital imaging · 2022Article
- Review
- Toponym-assisted map georeferencing: Evaluating the use of toponyms for the digitization of map collections.PloS one · 2021Article
- Modelling the shape of the pig scapula.Genetics, selection, evolution : GSE · 2020Article
- A Robust Nonrigid Point Set Registration Method Based on Collaborative Correspondences.Sensors (Basel, Switzerland) · 2020Article
- Track-to-Track Association for Intelligent Vehicles by Preserving Local Track Geometry.Sensors (Basel, Switzerland) · 2020Article
- Estimation of the Precision of a Structured Light System in Oil Paintings on Canvas.Sensors (Basel, Switzerland) · 2019Article
- Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This paper presents a comprehensive literature review on point set registration. The state-of-the-art modeling methods and algorithms for point set registration are discussed and summarized. Special attention is paid to methods for pairwise registration and groupwise registration. Some of the most prominent representative methods are selected to conduct qualitative and quantitative experiments. From the experiments we have conducted on 2D and 3D data, CPD-GL pairwise registration algorithm and JRMPC groupwise registration algorithm seem to outperform their rivals both in accuracy and computational complexity. Furthermore, future research directions and avenues in the area are identified.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.