{"title":"人脸动画参数提取与驱动","authors":"Ke Wang, Baocai Yin, Jintong Guo, Shuyan Ma","doi":"10.1109/ISCIT.2004.1413918","DOIUrl":null,"url":null,"abstract":"A new method combining the CANDIDE model with the Lucas-Kanade algorithm is proposed to track face features and extract face animation parameters. To adapt a general mesh model to a specific face scan data, a face model is made. Combining the parameter model and muscle model, the face animation is created finally by driving face animation parameters. The experimental results show the face animation parameter extraction and driving are accurate.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Face animation parameters extraction and driving\",\"authors\":\"Ke Wang, Baocai Yin, Jintong Guo, Shuyan Ma\",\"doi\":\"10.1109/ISCIT.2004.1413918\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method combining the CANDIDE model with the Lucas-Kanade algorithm is proposed to track face features and extract face animation parameters. To adapt a general mesh model to a specific face scan data, a face model is made. Combining the parameter model and muscle model, the face animation is created finally by driving face animation parameters. The experimental results show the face animation parameter extraction and driving are accurate.\",\"PeriodicalId\":237047,\"journal\":{\"name\":\"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCIT.2004.1413918\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2004.1413918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new method combining the CANDIDE model with the Lucas-Kanade algorithm is proposed to track face features and extract face animation parameters. To adapt a general mesh model to a specific face scan data, a face model is made. Combining the parameter model and muscle model, the face animation is created finally by driving face animation parameters. The experimental results show the face animation parameter extraction and driving are accurate.