{"title":"基于高清线框模型的面部表情分析与合成","authors":"T. Sakaguchi, M. Ueno, S. Morishima, H. Harashima","doi":"10.1109/ROMAN.1993.367723","DOIUrl":null,"url":null,"abstract":"We propose the method to extract facial expression parameter with quantitative analysis of 9-dimensional movement of facial surface that arises from real human expression, using high-definition model. By dividing the face surface to some regions having similar characteristics of movement and modeling with 3-dimensional round surface in each region respectively, we can derive the muscle control parameters and the rule of movement. Considering the findings of this analysis we propose also a synthesis method of real facial expression image based on this high-definition model.<<ETX>>","PeriodicalId":270591,"journal":{"name":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Analysis and synthesis of facial expression using high-definition wire frame model\",\"authors\":\"T. Sakaguchi, M. Ueno, S. Morishima, H. Harashima\",\"doi\":\"10.1109/ROMAN.1993.367723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the method to extract facial expression parameter with quantitative analysis of 9-dimensional movement of facial surface that arises from real human expression, using high-definition model. By dividing the face surface to some regions having similar characteristics of movement and modeling with 3-dimensional round surface in each region respectively, we can derive the muscle control parameters and the rule of movement. Considering the findings of this analysis we propose also a synthesis method of real facial expression image based on this high-definition model.<<ETX>>\",\"PeriodicalId\":270591,\"journal\":{\"name\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMAN.1993.367723\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1993.367723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis and synthesis of facial expression using high-definition wire frame model
We propose the method to extract facial expression parameter with quantitative analysis of 9-dimensional movement of facial surface that arises from real human expression, using high-definition model. By dividing the face surface to some regions having similar characteristics of movement and modeling with 3-dimensional round surface in each region respectively, we can derive the muscle control parameters and the rule of movement. Considering the findings of this analysis we propose also a synthesis method of real facial expression image based on this high-definition model.<>