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

下载

页码：141 / 147

页数：7

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