{"title":"Non-humanoid creature performance from human acting","authors":"Gustavo Eggert Boehs, M. Vieira","doi":"10.1145/2945078.2945080","DOIUrl":null,"url":null,"abstract":"We propose a framework for using human acting as input for the animation of non-humanoid creatures; captured motion is classified using machine learning techniques, and a combination of preexisting clips and motion retargeting are used to synthetize new motions. This should lead to a broader use of motion capture.","PeriodicalId":417667,"journal":{"name":"ACM SIGGRAPH 2016 Posters","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2016 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2945078.2945080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We propose a framework for using human acting as input for the animation of non-humanoid creatures; captured motion is classified using machine learning techniques, and a combination of preexisting clips and motion retargeting are used to synthetize new motions. This should lead to a broader use of motion capture.