dc.contributor.author | Dluzniewski, Clément | en_US |
dc.contributor.author | Chekirou, Hakim | en_US |
dc.contributor.author | Garrec, Jérémie Le | en_US |
dc.contributor.author | Andriot, Claude | en_US |
dc.contributor.author | Noël, Frédéric | en_US |
dc.contributor.editor | Jean-Marie Normand | en_US |
dc.contributor.editor | Maki Sugimoto | en_US |
dc.contributor.editor | Veronica Sundstedt | en_US |
dc.date.accessioned | 2023-12-04T15:43:31Z | |
dc.date.available | 2023-12-04T15:43:31Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-3-03868-218-9 | |
dc.identifier.issn | 1727-530X | |
dc.identifier.uri | https://doi.org/10.2312/egve.20231325 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egve20231325 | |
dc.description.abstract | Nowadays, most volumetric tele-immersion systems are based on a multi-camera system to capture a dynamic 3D place. With these acquisition devices, the development of a mobile tele-immersion system seems compromised, as a lot of equipment would have to be moved. One promising way to achieve a mobile system would be to use a single 360° camera and develop ways of reconstructing in 3D a dynamic scene in real time from a single point of view. Therefore, we propose an approach to freely navigate into a 360° video captured with a static camera. The approach considers three types of elements in the scene, the environment, the object of interest and the people, and relies on a different 3D representation for each type of element. Distinguishing the scene elements enables a real-time method to be adopted, by reconstructing static elements once and using fast-computable 3D representations for dynamic elements. As the method is real-time, we develop a streaming pipeline to enable XR users to move live within the camera stream. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Computing methodologies → Virtual reality; Reconstruction | |
dc.subject | Computing methodologies → Virtual reality | |
dc.subject | Reconstruction | |
dc.title | 3D Reconstruction for Tele-Immersion in 360° Live Stream | en_US |
dc.description.seriesinformation | ICAT-EGVE 2023 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments | |
dc.description.sectionheaders | Learning and 3D Reconstruction | |
dc.identifier.doi | 10.2312/egve.20231325 | |
dc.identifier.pages | 167-175 | |
dc.identifier.pages | 9 pages | |