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DeltaVR: Achieving High-Performance Mobile VR Dynamics through Pixel Reuse

机译:Deltavr:通过像素再利用实现高性能移动VR动态

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Virtual Reality (VR) improves the user's experience when interacting with the virtual world, and could revolutionarily transform the designs of many interactive systems. However, providing VR from untethered mobile devices is difficult due to their limited local capabilities. Existing VR solutions address this difficulty by rendering VR frames at remote computing facilities, but are limited to rendering every VR frame separately. A tremendous amount of VR frame data, hence, needs to be transmitted to mobile devices over low-bandwidth wireless links and seriously impairs VR performance. In this paper, we aim to remove this performance constraint on highly dynamic VR applications with complicated scenes and intensive user movement, by adaptively reusing the redundant VR pixels across multiple VR frames. We leverage the unique characteristics of image warping used in current VR applications, and fundamentally expand the scope of image warping to the entire VR lifespan to precisely capture the fluctuations of VR scene due to VR dynamics. We implemented our design over Android OS and Unity VR application engine, and demonstrated that our design can maximize the mobile VR performance over highly dynamic VR scenarios with 95% less amount of VR frame data being transmitted, by completely removing the pixel redundancy across VR frames.
机译:虚拟现实(VR)在与虚拟世界交互时提高了用户的体验,并且可以彻底改变许多交互式系统的设计。然而,由于其当地有限的局部能力,从未被移动设备提供VR。现有的VR解决方案通过在远程计算设施中渲染VR帧来解决此困难,但仅限于单独渲染每个VR帧。因此,需要在低带宽无线链路上传输到移动设备的大量VR帧数据,并且严重损害VR性能。在本文中,我们的目标是通过自适应地重用多个VR帧的冗余VR像素来消除具有复杂的场景和强化用户移动的高动态VR应用程序的这种性能约束。我们利用当前VR应用中使用的图像翘曲的独特特征,从而大大扩展到整个VR寿命的图像范围,以精确地捕获由于VR动态导致的VR场景的波动。我们在Android OS和Unity VR应用引擎上实现了我们的设计,并说明我们的设计可以通过完全删除VR帧的像素冗余,通过高度动态VR场景最大化移动VR性能超过高度动态VR场景。 。

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