Output-Sensitive Avatar Representations for Immersive Telepresence
Output-Sensitive Avatar Representations for Immersive Telepresence
复制标题
用于沉浸式远程呈现的输出敏感化身表示
DOI：
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发表时间：
2020
影响因子：
5.2
通讯作者：
B. Froehlich
中科院分区：
文献类型：
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作者：
A. Kreskowski;S. Beck;B. Froehlich
在本文中，我们提出了一个分布式虚拟环境中3D视频头像输出敏感重建、传输和渲染的系统设计和实现。在我们的沉浸式远程呈现系统中，用户被连接到服务器的多个RGBD传感器捕获，该服务器基于查看来自远程呈现方的反馈执行几何重建。该反馈和重建循环实现了关于几何和纹理数据的视频化身的可见性感知细节级别重建，并考虑了配置的用户的个人和组。我们的评估表明，我们的方法在许多情况下显著减少了重建时间、网络带宽需求和往返时间以及渲染成本。
In this article, we propose a system design and implementation for output-sensitive reconstruction, transmission and rendering of 3D video avatars in distributed virtual environments. In our immersive telepresence system, users are captured by multiple RGBD sensors connected to a server that performs geometry reconstruction based on viewing feedback from remote telepresence parties. This feedback and reconstruction loop enables visibility-aware level-of-detail reconstruction of video avatars regarding geometry and texture data, and considers individual and groups of collocated users. Our evaluation reveals that our approach leads to a significant reduction of reconstruction times, network bandwidth requirements and round-trip times as well as rendering costs in many situations.