Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Impression Management Techniques I: Managing Appearances01:29

Impression Management Techniques I: Managing Appearances

6
Appearance is a multidimensional aspect of self-presentation that encompasses observable attributes such as clothing, grooming, speech, and nonverbal behavior. These elements are often strategically managed to align with socially constructed expectations in different settings. For instance, individuals tailor their appearance during job interviews, social gatherings, or athletic events to meet the perceived norms of those environments.Contextual Adaptation and Social SignalsThe research...
6
Modeling and Similitude01:12

Modeling and Similitude

350
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
350

You might also read

Related Articles

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

Sort by
Same author

Multiscale RGB-Guided Fusion for Hyperspectral Image Super-Resolution.

Journal of imaging·2026
Same author

A high-resolution large-scale dataset for building segmentation from aerial imagery in northeastern Italy.

Scientific data·2025
Same author

Acquisition and Modeling of Material Appearance Using a Portable, Low Cost, Device.

Sensors (Basel, Switzerland)·2025
Same author

Enhancing Direction-of-Arrival Estimation with Multi-Task Learning.

Sensors (Basel, Switzerland)·2024
Same author

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision.

Journal of imaging·2023
Same author

A Smart Mirror for Emotion Monitoring in Home Environments.

Sensors (Basel, Switzerland)·2021
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

Related Experiment Video

Updated: Sep 21, 2025

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

11.5K

Designing an AI-Based Virtual Try-On Web Application.

Davide Marelli1, Simone Bianco1, Gianluigi Ciocca1

  • 1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336, 20126 Milano, Italy.

Sensors (Basel, Switzerland)
|May 28, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an advanced augmented reality eyewear virtual try-on system using deep learning and 3D face reconstruction. The markerless application provides realistic fit estimation and achieved high user satisfaction in usability testing.

Keywords:
3D face reconstructionartificial intelligencedeep learningvirtual try-on

More Related Videos

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.4K
Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.2K

Related Experiment Videos

Last Updated: Sep 21, 2025

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

11.5K
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.4K
Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.2K

Area of Science:

  • Computer Vision
  • Augmented Reality
  • Artificial Intelligence

Background:

  • Augmented Reality (AR), Virtual Reality (VR), and Artificial Intelligence (AI) are increasingly used across various sectors.
  • Virtual try-on applications in retail allow users to visualize accessories, makeup, hairstyles, hair color, and clothing on themselves.
  • Eyewear try-on is a significant application within the virtual try-on market.

Purpose of the Study:

  • To propose and develop an eyewear virtual try-on experience using advanced deep learning and computer vision.
  • To create a system capable of realistic virtual try-on on a 3D face model reconstructed from a single image.
  • To ensure accurate fit estimation by considering actual eyewear and face dimensions in a markerless approach.

Main Methods:

  • Leveraging deep learning-based computer vision techniques for virtual try-on.
  • Reconstructing a 3D face model from a single input image.
  • Assessing and comparing various face reconstruction approaches based on design, complexity, geometry errors, and texture quality.
  • Developing a web application for user interaction, optimized for desktop and mobile devices.

Main Results:

  • Selection of the most suitable face reconstruction approach for the virtual try-on framework through extensive analysis and experimentation.
  • Implementation of a markerless system that accurately estimates eyewear fit based on real-world measurements.
  • Development of an interactive web application for a seamless user experience.
  • A usability study indicated that the eyewear virtual try-on application scored above average.

Conclusions:

  • The proposed framework effectively integrates deep learning and computer vision for an advanced eyewear virtual try-on experience.
  • The system offers realistic virtual try-on with accurate fit estimation, enhancing the online retail experience for eyewear.
  • The markerless approach and user-friendly web application contribute to high usability and user satisfaction.