增强现实辅助视频会议的视觉调节

O. Guleryuz, T. Kalker
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引用次数: 1

摘要

典型的视频会议场景将来自不同环境的个人聚集在一起。除非有人承诺使用昂贵的远程呈现室,否则涉及许多人的会议将导致视觉效果和背景的不和谐。理想情况下,我们希望将参与者的视觉效果从他们各自的环境中分离出来,并在视觉上呈现出令人愉悦的背景,从而增强所有人的沉浸感。然而,可用的图像/视频分割技术是有限的,即使是最近流行的商品深度传感器也会导致明显的伪影。在本文中,我们提出了一种技术,可以在自适应设计的虚拟背景上实现分割参与者的鲁棒性和视觉上的愉悦渲染。我们的方法通过确定匹配并突出显示参与者视觉效果的虚拟背景来工作,并使用定向纹理来隐藏由于噪声分割边界,缺失区域等而产生的分割伪影。利用简单的计算和查找表,我们的工作带来了快速、实时的实现,可以在移动和其他计算有限的平台上运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual conditioning for augmented-reality-assisted video conferencing
Typical video conferencing scenarios bring together individuals from disparate environments. Unless one commits to expensive tele-presence rooms, conferences involving many individuals result in a cacophony of visuals and backgrounds. Ideally one would like to separate participant visuals from their respective environments and render them over visually pleasing backgrounds that enhance immersion for all. Yet available image/video segmentation techniques are limited and result in significant artifacts even with recently popular commodity depth sensors. In this paper we present a technique that accomplishes robust and visually pleasing rendering of segmented participants over adaptively-designed virtual backgrounds. Our method works by determining virtual backgrounds that match and highlight participant visuals and uses directional textures to hide segmentation artifacts due to noisy segmentation boundaries, missing regions, etc. Taking advantage of simple computations and look-up-tables, our work leads to fast, real-time implementations that can run on mobile and other computationally-limited platforms.
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