Facial Expression Recognition Algorithm Based on Deep Convolution Neural Network

被引：0

作者：

Ivanovsky, Leonid ^{[1
]}

Khryashchev, Vladimir ^{[1
]}

Lebedev, Anton ^{[1
]}

Kosterin, Igor ^{[2
]}

机构：

[1] PG Demidov Yaroslavl State Univ, Yaroslavl, Russia

[2] Fire & Rescue Acad, Ivanovo, Russia

来源：

PROCEEDINGS OF THE 2017 21ST CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT) | 2017年

基金：

俄罗斯基础研究基金会;

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents algorithms for smile detection and facial expression recognition. The developed algorithms are based on the implementation of a relatively new approach in the field of deep machine learning - a convolutional neural network. The aim of this network is to classify facial images into one of the six types of emotions. The studying of algorithms was carried using face images from the CMU MultiPie database. To accelerate the neural network operation, the training and testing processes were performed parallel, on a large number of independent streams on GPU. Fo r developed models there were given metrics of quality.

引用

页码：141 / 147

页数：7

共 50 条

[31] Deep Convolution Neural Network Based Speech Recognition for Chhattisgarhi
Londhe, Narendra D.
Kshirsagar, Ghanahshyam B.
Tekchandani, Hitesh
2018 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2018, : 667 - 671
[32] Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition
Perveen, Gulnaz
Ali, Syed Farooq
Ahmad, Jameel
Shahab, Sana
Adnan, Muhammad
Anjum, Mohd
Khosa, Ikramullah
IEEE ACCESS, 2023, 11 : 118474 - 118489
[33] Deep Convolutional Neural Network for Facial Expression Recognition using Facial Parts
Nwosu, Lucy
Wang, Hui
Lu, Jiang
Unwala, Ishaq
Yang, Xiaokun
Zhang, Ting
2017 IEEE 15TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 15TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 3RD INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS(DASC/PICOM/DATACOM/CYBERSCI, 2017, : 1318 - 1321
[34] Recognition Algorithm Based on Convolution Neural Network for the Mechanical Parts
Duan Suolin
Yin Congcong
Liu Maomao
ADVANCED MANUFACTURING AND AUTOMATION VIII, 2019, 484 : 337 - 347
[35] Breast Cancer Recognition Algorithm Based on Convolution Neural Network
Jiang, Jiafu
Li, Xinpei
Wang, Jin
Lim, Se-Jung
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2021, 11 (03) : 672 - 680
[36] Facial expression recognition based on deep residual network
Qu, Junsuo
Zhang, Ruijun
Zhang, Zhiwei
Pan, Jeng-Shyang
Journal of Computers (Taiwan), 2020, 31 (02): : 12 - 19
[37] Deep convolution neural network for image recognition
Traore, Boukaye Boubacar
Kamsu-Foguem, Bernard
Tangara, Fana
ECOLOGICAL INFORMATICS, 2018, 48 : 257 - 268
[38] Facial Expression Recognition Based on Convolutional Neural Network
Zhou Yue
Feng Yanyan
Zeng Shangyou
Pan Bing
PROCEEDINGS OF 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2019), 2019, : 410 - 413
[39] Nesterov Accelerated Gradient Descent-based Convolution Neural Network with Dropout for Facial Expression Recognition
Su, Wanjuan
Chen, Luefeng
Wu, Min
Zhou, Mengtian
Liu, Zhentao
Cao, Weihua
2017 11TH ASIAN CONTROL CONFERENCE (ASCC), 2017, : 1063 - 1068
[40] Automatic Facial Expression Recognition Based on a Deep Convolutional-Neural-Network Structure
Shan, Ke
Guo, Junqi
You, Wenwan
Lu, Di
Bie, Rongfang
2017 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH, MANAGEMENT AND APPLICATIONS (SERA), 2017, : 123 - 128

← 1 2 3 4 5 →