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

Dynamic nested hierarchies: self-evolving machine learning architectures for lifelong learning.

Frontiers in artificial intelligence·2026

Same author

Spherical Vision Transformers for Audio-Visual Saliency Prediction in 360$^{\circ }$∘ Videos.

IEEE transactions on pattern analysis and machine intelligence·2025

Same author

Processing emotions from faces and words measured by event-related brain potentials.

Cognition & emotion·2023

Same author

A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds.

Entropy (Basel, Switzerland)·2023

Same author

Towards Context-Aware Facial Emotion Reaction Database for Dyadic Interaction Settings.

Sensors (Basel, Switzerland)·2023

Same author

A Comparison of Neural Networks and Center of Gravity in Muon Hit Position Estimation.

Entropy (Basel, Switzerland)·2022

Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026

Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026

Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026

Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026

Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026

Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 29, 2025

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

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

Published on: November 23, 2019

Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper.

Prasoon Kumar Vinodkumar¹, Dogus Karabulut¹, Egils Avots¹

¹iCV Lab, Institute of Technology, University of Tartu, 50090 Tartu, Estonia.

Entropy (Basel, Switzerland)

|March 28, 2024

Summary

This summary is machine-generated.

This study reviews deep learning for 3D data, covering reconstruction, augmentation, and registration. It analyzes benchmark models, highlighting advancements and future research needs in 3D computer vision.

Keywords:

3D augmentation 3D reconstruction 3D registration convolutional neural networks deep learning generative adversarial networks graph neural networks neural networks point cloud review voxel

More Related Videos

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

Related Experiment Videos

Last Updated: Jun 29, 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 Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

Area of Science:

Computer Vision
Machine Learning
3D Graphics

Background:

Deep learning is the leading AI method for computer vision.
3D data presents unique challenges for deep learning.
Significant progress has been made in deep learning for 3D data.

Purpose of the Study:

To provide a comprehensive review of recent deep learning advancements for 3D data.
To examine benchmark models for 3D object registration, augmentation, and reconstruction.
To identify future research directions in 3D deep learning.

Main Methods:

Review of state-of-the-art deep learning methodologies for 3D data.
Analysis of benchmark models for 3D object registration, augmentation, and reconstruction.
Evaluation of model architectures, advantages, and limitations.

Main Results:

Detailed examination of various deep learning models for 3D tasks.
Analysis of the strengths and weaknesses of current 3D deep learning approaches.
Identification of key advancements in the field.

Conclusions:

The report offers a thorough overview of 3D deep learning.
Current research highlights significant progress in 3D object reconstruction, augmentation, and registration.
Unresolved research areas requiring future attention are identified.