Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence

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@INPROCEEDINGS{stotko2019groupscale,
     author = {Stotko, Patrick and Krumpen, Stefan and Weinmann, Michael and Klein, Reinhard},
      pages = {19--25},
      title = {Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence},
  booktitle = {IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},
       year = {2019},
      month = oct,
   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.},
        doi = {10.1109/ISMAR.2019.00018}
}