Detection and expression classification systems for face images (FADECS)

I. Stathopoulou, G. Tsihrintzis
{"title":"Detection and expression classification systems for face images (FADECS)","authors":"I. Stathopoulou, G. Tsihrintzis","doi":"10.1109/SIPS.2005.1579892","DOIUrl":null,"url":null,"abstract":"Towards building new, friendlier human-computer interaction systems and multimedia interactive services systems, we developed a neural network-based image processing system (called FADECS), which first determines automatically whether or not there are any faces in given images and, if so, returns the location and extent of each face. Next, FADECS uses neural network-based classifiers which allow the classification of several facial expressions from features that we develop and describe.","PeriodicalId":436123,"journal":{"name":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2005.1579892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

Towards building new, friendlier human-computer interaction systems and multimedia interactive services systems, we developed a neural network-based image processing system (called FADECS), which first determines automatically whether or not there are any faces in given images and, if so, returns the location and extent of each face. Next, FADECS uses neural network-based classifiers which allow the classification of several facial expressions from features that we develop and describe.
人脸图像检测与表情分类系统(fades)
为了建立新的、更友好的人机交互系统和多媒体交互服务系统,我们开发了一种基于神经网络的图像处理系统(称为FADECS),该系统首先自动确定给定图像中是否有人脸,如果有,则返回每个人脸的位置和范围。接下来,FADECS使用基于神经网络的分类器,允许从我们开发和描述的特征中对几种面部表情进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信