  Multi-view data capture permits free-viewpoint video (FVV) content creation.
To this end, several users must capture video streams, calibrated in both time
and pose, framing the same object/scene, from different viewpoints.
New-generation network architectures (e.g. 5G) promise lower latency and larger
bandwidth connections supported by powerful edge computing, properties that
seem ideal for reliable FVV capture. We have explored this possibility, aiming
to remove the need for bespoke synchronisation hardware when capturing a scene
from multiple viewpoints, making it possible through off-the-shelf mobiles. We
propose a novel and scalable data capture architecture that exploits edge
resources to synchronise and harvest frame captures. We have designed an edge
computing unit that supervises the relaying of timing triggers to and from
multiple mobiles, in addition to synchronising frame harvesting. We empirically
show the benefits of our edge computing unit by analysing latencies and show
the quality of 3D reconstruction outputs against an alternative and popular
centralised solution based on Unity3D.
