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3D Garment Design Model Based on Convolution Neural Network and Virtual Reality
The development of virtual reality technology has promoted the unceasing reform and development in the field of fashion design. Aiming at the key technologies and research difficulties in 3D clothing design, the structure of convolution neural network was designed, and a 3D clothing design model bas...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252671/ https://www.ncbi.nlm.nih.gov/pubmed/35795753 http://dx.doi.org/10.1155/2022/9187244 |
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author | Fengyi, Liu Liu, Siru |
author_facet | Fengyi, Liu Liu, Siru |
author_sort | Fengyi, Liu |
collection | PubMed |
description | The development of virtual reality technology has promoted the unceasing reform and development in the field of fashion design. Aiming at the key technologies and research difficulties in 3D clothing design, the structure of convolution neural network was designed, and a 3D clothing design model based on convolution neural network and virtual reality was constructed. By designing experiments, the average error, matching rate, prediction accuracy, pressure value, and other evaluation indexes are used to measure the performance of convolution neural network model in virtual reality three-dimensional clothing design. The results show that: first, the convolution neural network has the fastest training speed, with the maximum error of 1.63% and the average error of 0.48%. Second, with the increase of parameters, the matching degree of each part of the version and the corresponding data of the human body will gradually increase, the matching rate will slowly improve, and finally tends to 0.9 or so to achieve stability, Thirdly, the prediction accuracy of the convolution neural network is 92.689%, and the loss value is the least. Fourthly, in the virtual fitting and garment wearing experiments, the fit of the sample is within the allowed range, indicating that the automatic generation of fit sample has wearability and rationality. |
format | Online Article Text |
id | pubmed-9252671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92526712022-07-05 3D Garment Design Model Based on Convolution Neural Network and Virtual Reality Fengyi, Liu Liu, Siru Comput Intell Neurosci Research Article The development of virtual reality technology has promoted the unceasing reform and development in the field of fashion design. Aiming at the key technologies and research difficulties in 3D clothing design, the structure of convolution neural network was designed, and a 3D clothing design model based on convolution neural network and virtual reality was constructed. By designing experiments, the average error, matching rate, prediction accuracy, pressure value, and other evaluation indexes are used to measure the performance of convolution neural network model in virtual reality three-dimensional clothing design. The results show that: first, the convolution neural network has the fastest training speed, with the maximum error of 1.63% and the average error of 0.48%. Second, with the increase of parameters, the matching degree of each part of the version and the corresponding data of the human body will gradually increase, the matching rate will slowly improve, and finally tends to 0.9 or so to achieve stability, Thirdly, the prediction accuracy of the convolution neural network is 92.689%, and the loss value is the least. Fourthly, in the virtual fitting and garment wearing experiments, the fit of the sample is within the allowed range, indicating that the automatic generation of fit sample has wearability and rationality. Hindawi 2022-06-27 /pmc/articles/PMC9252671/ /pubmed/35795753 http://dx.doi.org/10.1155/2022/9187244 Text en Copyright © 2022 Liu Fengyi and Siru Liu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Fengyi, Liu Liu, Siru 3D Garment Design Model Based on Convolution Neural Network and Virtual Reality |
title | 3D Garment Design Model Based on Convolution Neural Network and Virtual Reality |
title_full | 3D Garment Design Model Based on Convolution Neural Network and Virtual Reality |
title_fullStr | 3D Garment Design Model Based on Convolution Neural Network and Virtual Reality |
title_full_unstemmed | 3D Garment Design Model Based on Convolution Neural Network and Virtual Reality |
title_short | 3D Garment Design Model Based on Convolution Neural Network and Virtual Reality |
title_sort | 3d garment design model based on convolution neural network and virtual reality |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252671/ https://www.ncbi.nlm.nih.gov/pubmed/35795753 http://dx.doi.org/10.1155/2022/9187244 |
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