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Streaming and Exploration of Dynamically Changing Dense 3D Reconstructions in Immersive Virtual Reality

机译:沉浸式虚拟现实中动态变化的密集3D重构的流式传输和探索

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We introduce a novel framework that enables large-scale dense 3D scene reconstruction, data streaming over the network and immersive exploration of the reconstructed environment using virtual reality. The system is operated by two remote entities, where one entity - for instance an autonomous aerial vehicle - captures and reconstructs the environment as well as transmits the data to another entity - such as human observer - that can immersivly explore the 3D scene, decoupled from the view of the capturing entity. The performance evaluation revealed the framework's capabilities to perform RGB-D data capturing, dense 3D reconstruction, streaming and dynamic scene updating in real time for indoor environments up to a size of 100m2, using either a state-of-the-art mobile computer or a workstation. Thereby, our work provides a foundation for enabling immersive exploration of remotely captured and incrementally reconstructed dense 3D scenes, which has not shown before and opens up new research aspects in future.
机译:我们介绍了一种新颖的框架,可以实现大规模密集的3D场景重建,通过网络流过数据流,并使用虚拟现实沉浸地探索重建环境。该系统由两个远程实体操作,其中一个实体 - 例如自动空中车辆 - 捕获和重建环境,以及将数据传输到另一个实体 - 例如人类观察者 - 这可以沉浸地探索3D场景,从捕获实体的视图。性能评估揭示了框架的能力,以实时执行RGB-D数据捕获,密集的3D重建,流媒体和动态场景,用于使用最先进的移动计算机或使用最先进的移动计算机或工作站。由此,我们的工作为实现了远程捕获和逐步重建的密集3D场景来实现沉浸式探索,该基础是在未来之前未示出的,并在将来开辟新的研究方面。

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