{"title":"学习了基于动作捕捉动画的可变形骨架","authors":"Alyssa Lees","doi":"10.1145/1174429.1174440","DOIUrl":null,"url":null,"abstract":"This paper presents a novel approach for automatically adding expressive attributes to motion capture based animations by utilizing learned behavior from the natural deformations of the human skeleton. The author envisions this system as part of a larger toolbox that enables animators to quickly modify the emotional qualities of motion capture data.","PeriodicalId":360852,"journal":{"name":"Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learned deformable skeletons for motion capture based animation\",\"authors\":\"Alyssa Lees\",\"doi\":\"10.1145/1174429.1174440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel approach for automatically adding expressive attributes to motion capture based animations by utilizing learned behavior from the natural deformations of the human skeleton. The author envisions this system as part of a larger toolbox that enables animators to quickly modify the emotional qualities of motion capture data.\",\"PeriodicalId\":360852,\"journal\":{\"name\":\"Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1174429.1174440\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1174429.1174440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learned deformable skeletons for motion capture based animation
This paper presents a novel approach for automatically adding expressive attributes to motion capture based animations by utilizing learned behavior from the natural deformations of the human skeleton. The author envisions this system as part of a larger toolbox that enables animators to quickly modify the emotional qualities of motion capture data.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
