{"title":"A Quick Review of Deep Learning in Facial Expression","authors":"M. Ghayoumi","doi":"10.17265/1548-7709/2017.01.004","DOIUrl":null,"url":null,"abstract":"Over the last few years, deep artificial neural networks have gotten the most attention in computer science, especially in pattern recognition, machine vision and machine learning. One of its excellent applications is in the emotion recognition via facial expression area. Facial expression analysis is useful for many tasks and the application of deep learning in this area is also developing very fast. We review some recent research works in this domain, introduce some new applications and show the general steps to implementing each of them.","PeriodicalId":69156,"journal":{"name":"通讯和计算机:中英文版","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"通讯和计算机:中英文版","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.17265/1548-7709/2017.01.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
Over the last few years, deep artificial neural networks have gotten the most attention in computer science, especially in pattern recognition, machine vision and machine learning. One of its excellent applications is in the emotion recognition via facial expression area. Facial expression analysis is useful for many tasks and the application of deep learning in this area is also developing very fast. We review some recent research works in this domain, introduce some new applications and show the general steps to implementing each of them.