{"title":"三维动画面部动作捕捉数据的冗余减少","authors":"Daniela I. Wellein, Cristóbal Curio, H. Bülthoff","doi":"10.1145/1272582.1272613","DOIUrl":null,"url":null,"abstract":"Research on the perception of dynamic faces often requires real-time animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture markers by 50%, while retaining the overall animation quality.","PeriodicalId":121004,"journal":{"name":"Proceedings of the 4th symposium on Applied perception in graphics and visualization","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Redundancy reduction in 3D facial motion capture data for animation\",\"authors\":\"Daniela I. Wellein, Cristóbal Curio, H. Bülthoff\",\"doi\":\"10.1145/1272582.1272613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research on the perception of dynamic faces often requires real-time animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture markers by 50%, while retaining the overall animation quality.\",\"PeriodicalId\":121004,\"journal\":{\"name\":\"Proceedings of the 4th symposium on Applied perception in graphics and visualization\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th symposium on Applied perception in graphics and visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1272582.1272613\",\"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 the 4th symposium on Applied perception in graphics and visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1272582.1272613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Redundancy reduction in 3D facial motion capture data for animation
Research on the perception of dynamic faces often requires real-time animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture markers by 50%, while retaining the overall animation quality.
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