Daniel Eckhoff, C. Sandor, Christian Lins, U. Eck, Denis Kalkofen, Andreas Hein
{"title":"TutAR","authors":"Daniel Eckhoff, C. Sandor, Christian Lins, U. Eck, Denis Kalkofen, Andreas Hein","doi":"10.1145/3284398.3284399","DOIUrl":null,"url":null,"abstract":"With Augmented Reality (AR) on Optical See-Through Head-Mounted Displays (OST-HMD), users can observe the real world and computer graphics at the same time. In this work, we present the design and implementation of TutAR, a pipeline that semi-automatically creates AR tutorials of 2D RGB videos with hands-only procedures such as cardiopulmonary resuscitation (CPR). TutAR extracts relevant 3D hand motion from the input video. The derived hand motion will be displayed as an animated 3D hand relative to the human body and plays synchronously with the motion in the video on an OST-HMD.","PeriodicalId":340366,"journal":{"name":"Proceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3284398.3284399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
With Augmented Reality (AR) on Optical See-Through Head-Mounted Displays (OST-HMD), users can observe the real world and computer graphics at the same time. In this work, we present the design and implementation of TutAR, a pipeline that semi-automatically creates AR tutorials of 2D RGB videos with hands-only procedures such as cardiopulmonary resuscitation (CPR). TutAR extracts relevant 3D hand motion from the input video. The derived hand motion will be displayed as an animated 3D hand relative to the human body and plays synchronously with the motion in the video on an OST-HMD.