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• W2965326417 abstract "Sharing live telepresence experiences for teleconferencing or remote collaboration receives increasing interest with the recent progress in capturing and AR/VR technology. Whereas impressive telepresence systems have been proposed on top of on-the-fly scene capture, data transmission and visualization, these systems are restricted to the immersion of single or up to a low number of users into the respective scenarios. In this paper, we direct our attention on immersing significantly larger groups of people into live-captured scenes as required in education, entertainment or collaboration scenarios. For this purpose, rather than abandoning previous approaches, we present a range of optimizations of the involved reconstruction and streaming components that allow the immersion of a group of more than 24 users within the same scene - which is about a factor of 6 higher than in previous work - without introducing further latency or changing the involved consumer hardware setup. We demonstrate that our optimized system is capable of generating high-quality scene reconstructions as well as providing an immersive viewing experience to a large group of people within these live-captured scenes." @default.
• W2965326417 created "2019-08-13" @default.
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• W2965326417 date "2019-10-01" @default.
• W2965326417 modified "2023-09-25" @default.
• W2965326417 title "Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence" @default.
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• W2965326417 doi "https://doi.org/10.1109/ismar.2019.00018" @default.
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