Development of a Virtual Fitting Room Integrating Computer Vision, Artificial Intelligence and Virtual Reality Technologies

This article presents a virtual fitting room system that improves customer experience by providing personalized image-based recommendations. The prototype designed takes a step forward in the state of the art by contemplating the creation of a customizable avatar based on the user's biometric characteristics and clothing style. Facial recognition models were implemented to predict gender and age, and segmentation and classification techniques are used to extract characteristics from the clothing the user is wearing. The work describes the progress and experiences in the development of some prototype modules and the possible methodologies that are being evaluated to develop a real-time web-based adaptation experience to represent the user's appearance and simulate a combination of multiple garments.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/icgi64003.2024.10923795
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
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Development of a Virtual Fitting Room Integrating Computer Vision, Artificial Intelligence and Virtual Reality Technologies

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Development of a Virtual Fitting Room Integrating Computer Vision, Artificial Intelligence and Virtual Reality Technologies

Alesi Teixeira Mendes, Rafael Dias Ribeiro, Miguel Ferreira, Edel García-Reyes, Yusbel Chávez Castilla, Luís Magalhães, Miguel Angel Guevara, Inês Caetano, José Pérez, Nuno Sousa, João Oliveira, Yanelys Fernández Llerena
article en
1 citations

Abstract

This article presents a virtual fitting room system that improves customer experience by providing personalized image-based recommendations. The prototype designed takes a step forward in the state of the art by contemplating the creation of a customizable avatar based on the user's biometric characteristics and clothing style. Facial recognition models were implemented to predict gender and age, and segmentation and classification techniques are used to extract characteristics from the clothing the user is wearing. The work describes the progress and experiences in the development of some prototype modules and the possible methodologies that are being evaluated to develop a real-time web-based adaptation experience to represent the user's appearance and simulate a combination of multiple garments.

Centro de Computação Gráfica (PT), University of Minho (PT)
Openalex Percentile: Top 30%
Advanced Manufacturing and Logistics Optimization
0.35
DOISourceOpenAlex
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