Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Reduced Mass Coordinates: Isolated Two-body Problem

Reduced Mass Coordinates: Isolated Two-body Problem

In classical mechanics, the two-body problem is one of the fundamental problems describing the motion of two interacting bodies under gravity or any other central force. When considering the motion of two bodies, one of the most important concepts is the reduced mass coordinates, a quantity that allows the two-body problem to be solved like a single-body problem. In these circumstances, it is assumed that a single body with reduced mass revolves around another body fixed in a position with an...

Design Example: Measuring Distance Between Two Points with Obstructions

Design Example: Measuring Distance Between Two Points with Obstructions

When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A bHLH transcription factor negatively regulates effective panicle number and grain yield by modulating auxin transport and distribution in rice.

Molecular plant·2025

Same author

Tailored electrolyte salt anion chemistry for enhanced high-nickel lithium-ion batteries.

Nature communications·2025

Same author

Research and application of quantitative model for optimal well trajectory selection.

Scientific reports·2025

Same author

Correction: CUGBP Elav-like family member 4 promotes cardiac remodeling through inhibition of FMO2.

BMC cardiovascular disorders·2025

Same author

Cell division cycle 5 is important for exerting the repressive function of non-coding RNAs and PRC2 on FLC during vernalization.

The Plant journal : for cell and molecular biology·2025

Same author

Integration of RASSF1A and TSPYL5 methylation and AFP protein as plasma biomarker for hepatocellular carcinoma diagnosis.

Journal of cancer research and clinical oncology·2025

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 5, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

A Two-Stage Correspondence-Free Algorithm for Partially Overlapping Point Cloud Registration.

Wenhao Zhang¹, Yu Zhang¹, Jinlong Li¹

¹School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610036, China.

Sensors (Basel, Switzerland)

|July 9, 2022

Summary

This summary is machine-generated.

This study introduces a novel two-stage method for point cloud registration, improving accuracy and robustness for partially overlapping 3D data. The approach effectively handles real-world challenges like sparse data and low overlap rates.

Keywords:

deep learning global feature overlapping regions point cloud registration

More Related Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Related Experiment Videos

Last Updated: Sep 5, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Area of Science:

Computer Vision
3D Data Processing
Machine Learning

Background:

Point cloud registration is crucial for 3D reconstruction and autonomous driving.
Existing learning-based methods struggle with real-world data challenges like sparsity and low overlap.
Correspondence-based methods require homogeneous density, while global feature methods are sensitive to non-overlapping regions.

Purpose of the Study:

To develop a robust two-stage method for partially overlapping point cloud registration.
To address the limitations of existing methods in handling sparse, low-overlap, and noisy real-world data.
To improve the accuracy and robustness of point cloud registration in challenging scenarios.

Main Methods:

A two-stage approach is proposed, starting with predicting overlapping regions using structural and feature information interaction.
Global features are then captured by combining PointNet and a self-attention mechanism, connecting features across different levels.
This method mitigates the impact of non-overlapping regions on global feature extraction.

Main Results:

The proposed method demonstrates higher accuracy compared to existing techniques.
Experimental results confirm improved robustness in handling partially overlapping point clouds.
The approach effectively addresses challenges posed by sparse data and varying densities.

Conclusions:

The novel two-stage method offers a significant advancement in partially overlapping point cloud registration.
The technique shows superior performance and robustness over current state-of-the-art methods.
This work provides a more reliable solution for 3D reconstruction and autonomous driving applications.