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

You might also read

Related Articles

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

Sort by

Same author

AQP4 and MOG Characterize the Autoantibody Landscape of Checkpoint Blockade-Induced Optic Neuritis.

Annals of neurology·2026

Same author

ER-Golgi dysfunction and vesicular transport alterations in rheumatoid arthritis immune cells.

Frontiers in immunology·2026

Same author

Balancing stringency and feasibility: comparative value of disease-activity measures to predict pregnancy outcomes in systemic lupus erythematosus.

Lupus science & medicine·2026

Same author

Chromosome structural variation analysis reveals lung cancer-associated gene regulatory networks in rheumatoid arthritis patients.

BMC medical genomics·2025

Same author

Unraveling the nexus between lung cancer and rheumatoid arthritis using integrative transcriptomics and genomics.

BMC cancer·2025

Same author

IL-18 drives the Bhlhe40-mediated pathogenic Th17 cell response and exacerbates autoimmune disease progression.

Cellular & molecular immunology·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: Jul 5, 2025

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Omnidirectional-Sensor-System-Based Texture Noise Correction in Large-Scale 3D Reconstruction.

Wenya Xie¹, Xiaoping Hong¹

¹The School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China.

Sensors (Basel, Switzerland)

|January 11, 2024

Summary

This summary is machine-generated.

This study presents a new framework to reduce texture noise in large-scale 3D reconstruction using omnidirectional sensors. The method effectively corrects issues like specular highlights and color inconsistency for improved 3D models.

Keywords:

3D reconstruction frame fusion imaging sensor texture noise correction voxel hashing

More Related Videos

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Published on: January 12, 2024

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

Related Experiment Videos

Last Updated: Jul 5, 2025

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Published on: January 12, 2024

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

Area of Science:

Computer Vision
3D Reconstruction
Geospatial Technology

Background:

3D reconstruction techniques face challenges with sensor limitations and environmental factors, leading to texture noise.
Traditional methods struggle with large-scale scenes due to data volume and noise mitigation difficulties.

Purpose of the Study:

To introduce an effective framework for texture noise correction in large-scale 3D reconstruction.
To address issues like specular highlights, color inconsistency, and object occlusion in 3D models.

Main Methods:

Organizing LiDAR points and RGB images to create a colored point cloud with luminance values.
Employing a voxel hashing algorithm for accelerated geometry reconstruction and memory efficiency.
Utilizing novel frame-voting and neighbor-aided rendering mechanisms for noise elimination.

Main Results:

Achieved a processing rate of one million points per second, demonstrating real-time applicability.
Significantly reduced texture noise in output 3D models, enhancing visual quality.
Validated the framework's advanced performance in correcting multiple texture noise types.

Conclusions:

The proposed omnidirectional-sensor-system-based framework significantly improves texture quality in large-scale 3D reconstruction.
The innovative rendering mechanisms effectively eliminate common texture noise issues.
The system offers a practical and efficient solution for high-quality 3D scene reconstruction.