论文标题
通过远程渲染与霍洛伦斯的纽约数据互动
Interacting with New York City Data by HoloLens through Remote Rendering
论文作者
论文摘要
在数字时代，扩展现实（XR）被认为是下一个边界。但是，XR系统在计算密集程度上，必须在严格的延迟约束中实现。因此，具有有限计算资源的XR设备在可以提供的经验质量（QOE）方面受到限制，尤其是在3D大数据的情况下。通过将高度密集的渲染任务卸载到远程服务器中可以有效解决此问题。因此，我们提出了一个启用远程渲染的XR系统，该系统在Microsoft Hololens上介绍了纽约市的3D城市模型。实验结果表明，远程渲染的表现优于纽约市模型的本地渲染，平均QOE的平均QoE显着提高至少21％。此外，我们阐明了根据OpenXR标准开发的拟议XR系统中的网络流量模式。
In the digital era, Extended Reality (XR) is considered the next frontier. However, XR systems are computationally intensive, and they must be implemented within strict latency constraints. Thus, XR devices with finite computing resources are limited in terms of quality of experience (QoE) they can offer, particularly in cases of big 3D data. This problem can be effectively addressed by offloading the highly intensive rendering tasks to a remote server. Therefore, we proposed a remote rendering enabled XR system that presents the 3D city model of New York City on the Microsoft HoloLens. Experimental results indicate that remote rendering outperforms local rendering for the New York City model with significant improvement in average QoE by at least 21%. Additionally, we clarified the network traffic pattern in the proposed XR system developed under the OpenXR standard.
