{"title":"基于模糊集聚类的面部表情克隆","authors":"Patrick Santos, E. Petriu","doi":"10.1109/CIVEMSA.2013.6617389","DOIUrl":null,"url":null,"abstract":"This paper describes work towards a facial expression cloning system that maps pre-existing generic facial expressions from a shape-based face to a muscle-based face. The goal of this work is to create a facial expression cloning algorithm that allows animations to be recorded for one face and transferred to other faces regardless of the underlying model used for the source and target faces. Facial expressions are compared using membership values of fuzzy sets.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Facial expression cloning with fuzzy set clustering\",\"authors\":\"Patrick Santos, E. Petriu\",\"doi\":\"10.1109/CIVEMSA.2013.6617389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes work towards a facial expression cloning system that maps pre-existing generic facial expressions from a shape-based face to a muscle-based face. The goal of this work is to create a facial expression cloning algorithm that allows animations to be recorded for one face and transferred to other faces regardless of the underlying model used for the source and target faces. Facial expressions are compared using membership values of fuzzy sets.\",\"PeriodicalId\":159100,\"journal\":{\"name\":\"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIVEMSA.2013.6617389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIVEMSA.2013.6617389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Facial expression cloning with fuzzy set clustering
This paper describes work towards a facial expression cloning system that maps pre-existing generic facial expressions from a shape-based face to a muscle-based face. The goal of this work is to create a facial expression cloning algorithm that allows animations to be recorded for one face and transferred to other faces regardless of the underlying model used for the source and target faces. Facial expressions are compared using membership values of fuzzy sets.
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