特征脸法通过面部表情识别

Prashant Shakyawar, Pkumar Choure, Upendra Singh
{"title":"特征脸法通过面部表情识别","authors":"Prashant Shakyawar, Pkumar Choure, Upendra Singh","doi":"10.1109/ICECA.2017.8212714","DOIUrl":null,"url":null,"abstract":"The Eigenface method is a classic face recognition method. This article is based on the method of Eigen face to recognize the facial expression. The aim of this method is to recognize the facial expression stored in a database. It uses a set of single static image with different expression labels as the training database, projected the training image to subspaces. The similar face of the tested expression in the training database is calculated out by it, and gave out the label of that face as the recognition result and its expressions. Several shortages of this Eigen face method were demonstrated by the result in face expression recognition. Due to its dependency on the gray level similarity of the training image set and the given test image, it would be greatly influenced while the light, angle, face size and face color.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Eigenface method through through facial expression recognition\",\"authors\":\"Prashant Shakyawar, Pkumar Choure, Upendra Singh\",\"doi\":\"10.1109/ICECA.2017.8212714\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Eigenface method is a classic face recognition method. This article is based on the method of Eigen face to recognize the facial expression. The aim of this method is to recognize the facial expression stored in a database. It uses a set of single static image with different expression labels as the training database, projected the training image to subspaces. The similar face of the tested expression in the training database is calculated out by it, and gave out the label of that face as the recognition result and its expressions. Several shortages of this Eigen face method were demonstrated by the result in face expression recognition. Due to its dependency on the gray level similarity of the training image set and the given test image, it would be greatly influenced while the light, angle, face size and face color.\",\"PeriodicalId\":222768,\"journal\":{\"name\":\"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECA.2017.8212714\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA.2017.8212714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

特征脸方法是一种经典的人脸识别方法。本文是基于人脸特征的人脸识别方法进行人脸表情识别。该方法的目的是识别存储在数据库中的面部表情。它使用一组具有不同表情标签的静态图像作为训练库,将训练图像投影到子空间中。在训练库中计算出与被测表情相似的人脸,并给出该人脸的标签作为识别结果及其表情。结果表明,该方法在人脸表情识别中存在不足。由于其依赖于训练图像集与给定测试图像的灰度相似度,因此光照、角度、人脸大小和人脸颜色对其影响较大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eigenface method through through facial expression recognition
The Eigenface method is a classic face recognition method. This article is based on the method of Eigen face to recognize the facial expression. The aim of this method is to recognize the facial expression stored in a database. It uses a set of single static image with different expression labels as the training database, projected the training image to subspaces. The similar face of the tested expression in the training database is calculated out by it, and gave out the label of that face as the recognition result and its expressions. Several shortages of this Eigen face method were demonstrated by the result in face expression recognition. Due to its dependency on the gray level similarity of the training image set and the given test image, it would be greatly influenced while the light, angle, face size and face color.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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