How to Make a Volumetric Capture program with Intel® RealSense™

Questions regarding the Volumetric Capture example from the Intel® RealSense™ Blog.

1. Can I start with 8 RealSense cameras and increase the number if the quality is not the best? (On our project we will need a very high depth quality) 
2. If I will use 8 RealSense cameras, can I use only 2 workstations? 
3. If I will use 8 RealSense, 8 AaeonUp Boards and 1 master PC, will it work? 
4. Where can I find the multi pointcloud example used in the project from the blog? 
5. Can I stream multi pointcloud in real time? 

1. Correct. The more cameras you use, the more of the scene can be captured.
2. For Intel's demo, they connected one PC powered by an Intel Core i7 processor per camera.
   1. This is because of the high processing power required to do Volumetric Capture.
   2. You can connect more than one camera to a PC if you have enough processing power on the PC.
3. We believe that an AaeonUp Board may not have the processing power required for this solution.
   1. Notice that Intel used very powerful PCs, one per camera.
   2. You will want to test this very carefully.
4. As the blog states, Intel used a modified version of the Intel RealSense Viewer, which is part of the free, open-source Intel RealSense SDK 2.0, also known as librealsense to record the footage.
   1. Intel does not release the modified version of the RealSense Viewer.
5. Real-time streaming is not possible due to the high bandwidth and processing requirements to create the composite point clouds. The processing cannot be done quickly enough without dropping frames.