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Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism

The existing face detection methods were affected by the network model structure used. Most of the face recognition methods had low recognition rate of face key point features due to many parameters and large amount of calculation. In order to improve the recognition accuracy and detection speed of...

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Detalles Bibliográficos
Autores principales: Gao, Jiangjin, Yang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754621/
https://www.ncbi.nlm.nih.gov/pubmed/35035462
http://dx.doi.org/10.1155/2022/6205108
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author Gao, Jiangjin
Yang, Tao
author_facet Gao, Jiangjin
Yang, Tao
author_sort Gao, Jiangjin
collection PubMed
description The existing face detection methods were affected by the network model structure used. Most of the face recognition methods had low recognition rate of face key point features due to many parameters and large amount of calculation. In order to improve the recognition accuracy and detection speed of face key points, a real-time face key point detection algorithm based on attention mechanism was proposed in this paper. Due to the multiscale characteristics of face key point features, the deep convolution network model was adopted, the attention module was added to the VGG network structure, the feature enhancement module and feature fusion module were combined to improve the shallow feature representation ability of VGG, and the cascade attention mechanism was used to improve the deep feature representation ability. Experiments showed that the proposed algorithm not only can effectively realize face key point recognition but also has better recognition accuracy and detection speed than other similar methods. This method can provide some theoretical basis and technical support for face detection in complex environment.
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spelling pubmed-87546212022-01-13 Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism Gao, Jiangjin Yang, Tao Comput Intell Neurosci Research Article The existing face detection methods were affected by the network model structure used. Most of the face recognition methods had low recognition rate of face key point features due to many parameters and large amount of calculation. In order to improve the recognition accuracy and detection speed of face key points, a real-time face key point detection algorithm based on attention mechanism was proposed in this paper. Due to the multiscale characteristics of face key point features, the deep convolution network model was adopted, the attention module was added to the VGG network structure, the feature enhancement module and feature fusion module were combined to improve the shallow feature representation ability of VGG, and the cascade attention mechanism was used to improve the deep feature representation ability. Experiments showed that the proposed algorithm not only can effectively realize face key point recognition but also has better recognition accuracy and detection speed than other similar methods. This method can provide some theoretical basis and technical support for face detection in complex environment. Hindawi 2022-01-05 /pmc/articles/PMC8754621/ /pubmed/35035462 http://dx.doi.org/10.1155/2022/6205108 Text en Copyright © 2022 Jiangjin Gao and Tao Yang. 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
Gao, Jiangjin
Yang, Tao
Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism
title Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism
title_full Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism
title_fullStr Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism
title_full_unstemmed Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism
title_short Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism
title_sort research on real-time face key point detection algorithm based on attention mechanism
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754621/
https://www.ncbi.nlm.nih.gov/pubmed/35035462
http://dx.doi.org/10.1155/2022/6205108
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