论文标题
使用边缘同步手机捕获多视图数据
Multi-view data capture using edge-synchronised mobiles
论文作者
论文摘要
多视图数据捕获允许免费视频视频（FVV）内容创建。为此，几个用户必须捕获视频流，这些视频流在时间和姿势上校准，从不同的角度构建相同的对象/场景。新代网络体系结构（例如5G）承诺较低的延迟和较大的带宽连接，并由强大的边缘计算支持，这似乎是可靠的FVV捕获的理想的属性。我们已经探讨了这种可能性，旨在从多个角度捕获场景时消除定制同步硬件的需求，从而通过现成的手机进行了捕获。我们提出了一种新颖的可扩展数据捕获体系结构，该体系结构利用边缘资源同步和收获框架捕获。我们设计了一个边缘计算单元，该计算单元除了同步框架收获外，还可以监督定时触发器与多个手机的中继。我们通过分析潜伏期并显示3D重建输出的质量与基于Unity3D的替代和流行的集中解决方案，从经验上显示了边缘计算单元的好处。
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.
