首页> 外文会议>ACM/IEEE International Conference on Information Processing in Sensor Networks >DeltaVR: Achieving High-Performance Mobile VR Dynamics through Pixel Reuse
【24h】

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

机译:DeltaVR:通过像素重用实现高性能的移动VR动态

获取原文

摘要

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)可以改善用户与虚拟世界进行交互时的体验,并且可以革命性地改变许多交互系统的设计。但是,由于局限的本地功能,很难从不受限制的移动设备提供VR。现有的VR解决方案通过在远程计算设备上渲染VR帧解决了这一难题,但仅限于单独渲染每个VR帧。因此,大量的VR帧数据需要通过低带宽无线链路传输到移动设备,并严重损害VR的性能。在本文中,我们旨在通过在多个VR帧之间自适应地重复使用冗余VR像素,消除具有复杂场景和密集用户移动的高动态VR应用程序的性能限制。我们利用当前VR应用程序中使用的图像变形的独特特性,从根本上将图像变形的范围扩展到整个VR寿命,以精确捕获由于VR动态导致的VR场景波动。我们通过Android OS和Unity VR应用程序引擎实现了我们的设计,并证明了我们的设计可以通过完全消除VR帧之间的像素冗余,在高动态VR场景下最大程度地提高移动VR性能,减少传输95%的VR帧数据。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号