{"title":"Facial Feature Information Based Computer-aided Emoticon Design System","authors":"Chen Zhu, Wang Yan, Si Zheng Ming","doi":"10.1109/CTISC52352.2021.00061","DOIUrl":null,"url":null,"abstract":"Computer-aided design has been studied for decades. Under the current technical background, computer technology can be used to express designers' ideas more efficiently and design suitable products for users. However, there are not many applications on emoticons. This paper proposes a social network emoticon design system framework which combines face recognition technology and feature extraction technology. Through case practice, the conclusion is that the emoticon design system based on facial feature information can be used in large quantities for different users to design personalized emoticons, software tools for imaging can make a large number of personalized design into reality. Based on this, intelligent image design software has great development space and application value.","PeriodicalId":268378,"journal":{"name":"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTISC52352.2021.00061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Computer-aided design has been studied for decades. Under the current technical background, computer technology can be used to express designers' ideas more efficiently and design suitable products for users. However, there are not many applications on emoticons. This paper proposes a social network emoticon design system framework which combines face recognition technology and feature extraction technology. Through case practice, the conclusion is that the emoticon design system based on facial feature information can be used in large quantities for different users to design personalized emoticons, software tools for imaging can make a large number of personalized design into reality. Based on this, intelligent image design software has great development space and application value.