The doctor was captured at the VRDays stage using Azure Kinect cameras. In the same stage the experience was captured by a virtual camera, projected on a big screen and broadcasted in real time. The patient joined the session outside near Science Park in Amsterdam, was captured with a Samsung S20 Ultra 5G smartphone, and streamed over the standard 5G network of KPN in real-time.

The capture application on the phone uses the depth and color cameras to capture depth and color frames. After applying some alignment transformations, a point cloud is computed using the information on both frames. For the demo, we used a depth resolution of 240×180 pixels which turned into an average of 20.000 points per frame. The streaming was performed at 20fps, which turns into a 51.2 Mbits/second stream, too big for streaming over a 4G network (typical uploading velocity around 25Mbits/s), but enough for a 5G network (even at 700MHz).

The VRTogether platform was used for orchestrating the experience. In the project we have developed an end-to-end pipeline for the delivery of volumetric video, as point clouds. The platform has three unique characteristics: it provides a real-time experience, so we can explore new forms of communication and collaboration using volumetric video; it allows for optimization mechanism based on the context of interaction and human behavior; and it is extensible so the technical components (capturing, compression, delivery, rendering) can be customized depending on the needs of the interaction. The platform uses an award winning compression algorithm for point clouds developed by the Distributed and Interactive Systems group at CWI.