{"title":"实时点云自头像与一个单一的RGB-D相机","authors":"Hela Ridha-Mahfoudhi, Nguyen Thong Dang","doi":"10.1145/3359996.3365041","DOIUrl":null,"url":null,"abstract":"This paper presents a method for generating in real-time a self-avatar using a single RGB-D Camera. The self-avatar was presented under the form of a point cloud, retrieved thanks to a Kinect V2. The method included smoothing, filtering, segmenting and remapping point data presenting the user's body in real-time. The point cloud avatar in the third and the first person view can be generated.","PeriodicalId":393864,"journal":{"name":"Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Real Time Point Cloud Self-Avatar With A Single RGB-D Camera\",\"authors\":\"Hela Ridha-Mahfoudhi, Nguyen Thong Dang\",\"doi\":\"10.1145/3359996.3365041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method for generating in real-time a self-avatar using a single RGB-D Camera. The self-avatar was presented under the form of a point cloud, retrieved thanks to a Kinect V2. The method included smoothing, filtering, segmenting and remapping point data presenting the user's body in real-time. The point cloud avatar in the third and the first person view can be generated.\",\"PeriodicalId\":393864,\"journal\":{\"name\":\"Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3359996.3365041\",\"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 25th ACM Symposium on Virtual Reality Software and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3359996.3365041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real Time Point Cloud Self-Avatar With A Single RGB-D Camera
This paper presents a method for generating in real-time a self-avatar using a single RGB-D Camera. The self-avatar was presented under the form of a point cloud, retrieved thanks to a Kinect V2. The method included smoothing, filtering, segmenting and remapping point data presenting the user's body in real-time. The point cloud avatar in the third and the first person view can be generated.