Collaborative VR-Based 3D Labeling of Live-Captured Scenes by Remote Users.

Previous work on interactive 3D labeling focused on improving user experience based on virtual/augmented reality and, thereby, speeding-up the labeling of scenes. In this article, we present a novel interactive, collaborative VR-based 3D labeling system for live-captured scenes by multiple remotely connected users based on sparse multi-user input with automatic label propagation and completion. Hence, our system is particularly beneficial in the case of multiple users that are able to label different scene parts from the respectively adequate views in parallel.

SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence.

Real-time 3D scene reconstruction from RGB-D sensor data, as well as the exploration of such data in VR/AR settings, has seen tremendous progress in recent years. The combination of both these components into telepresence systems, however, comes with significant technical challenges. All approaches proposed so far are extremely demanding on input and output devices, compute resources and transmission bandwidth, and they do not reach the level of immediacy required for applications such as remote collaboration.