Hanseul Jun;Jeremy N. Bailenson;Henry Fuchs;Gordon Wetzstein
{"title":"RGBD相机和AR耳机的易用管道","authors":"Hanseul Jun;Jeremy N. Bailenson;Henry Fuchs;Gordon Wetzstein","doi":"10.1162/pres_a_00326","DOIUrl":null,"url":null,"abstract":"The contribution of this article lies in providing the code for a working system running with off-theshelf hardware, but not in advancing theory in computer vision or graphics. The current work presents a system which uses one RGBD camera (Microsoft Kinect v2) to capture people in places, and an AR headset (Microsoft HoloLens) to display the scene. While the fidelity of the system is relatively low compared to others which utilize multiple cameras (i.e., Orts-Escolano et al., 2016), it displays with a high frame rate, has low latency, and is mobile in that it does not require a render computer.","PeriodicalId":101038,"journal":{"name":"Presence","volume":"27 2","pages":"202-205"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1162/pres_a_00326","citationCount":"2","resultStr":"{\"title\":\"An Easy-to-Use Pipeline for an RGBD Camera and an AR Headset\",\"authors\":\"Hanseul Jun;Jeremy N. Bailenson;Henry Fuchs;Gordon Wetzstein\",\"doi\":\"10.1162/pres_a_00326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The contribution of this article lies in providing the code for a working system running with off-theshelf hardware, but not in advancing theory in computer vision or graphics. The current work presents a system which uses one RGBD camera (Microsoft Kinect v2) to capture people in places, and an AR headset (Microsoft HoloLens) to display the scene. While the fidelity of the system is relatively low compared to others which utilize multiple cameras (i.e., Orts-Escolano et al., 2016), it displays with a high frame rate, has low latency, and is mobile in that it does not require a render computer.\",\"PeriodicalId\":101038,\"journal\":{\"name\":\"Presence\",\"volume\":\"27 2\",\"pages\":\"202-205\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1162/pres_a_00326\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Presence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/9000808/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Presence","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/9000808/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Easy-to-Use Pipeline for an RGBD Camera and an AR Headset
The contribution of this article lies in providing the code for a working system running with off-theshelf hardware, but not in advancing theory in computer vision or graphics. The current work presents a system which uses one RGBD camera (Microsoft Kinect v2) to capture people in places, and an AR headset (Microsoft HoloLens) to display the scene. While the fidelity of the system is relatively low compared to others which utilize multiple cameras (i.e., Orts-Escolano et al., 2016), it displays with a high frame rate, has low latency, and is mobile in that it does not require a render computer.