Jump: virtual reality video

Robert Anderson, D. Gallup, J. Barron, Janne Kontkanen, Noah Snavely, Carlos Hernández, Sameer Agarwal, S. Seitz
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引用次数: 228

Abstract

We present Jump, a practical system for capturing high resolution, omnidirectional stereo (ODS) video suitable for wide scale consumption in currently available virtual reality (VR) headsets. Our system consists of a video camera built using off-the-shelf components and a fully automatic stitching pipeline capable of capturing video content in the ODS format. We have discovered and analyzed the distortions inherent to ODS when used for VR display as well as those introduced by our capture method and show that they are small enough to make this approach suitable for capturing a wide variety of scenes. Our stitching algorithm produces robust results by reducing the problem to one of pairwise image interpolation followed by compositing. We introduce novel optical flow and compositing methods designed specifically for this task. Our algorithm is temporally coherent and efficient, is currently running at scale on a distributed computing platform, and is capable of processing hours of footage each day.
跳跃:虚拟现实视频
我们提出Jump,一个实用的系统,用于捕获高分辨率,全向立体声(ODS)视频,适用于当前可用的虚拟现实(VR)头显的大规模消费。我们的系统由一个使用现成组件构建的摄像机和一个能够捕获ODS格式视频内容的全自动拼接流水线组成。我们已经发现并分析了用于VR显示时ODS固有的扭曲以及我们的捕获方法引入的扭曲,并表明它们足够小,使这种方法适合捕获各种场景。我们的拼接算法通过将问题简化为一对图像插值然后合成的问题来产生鲁棒性的结果。我们介绍了专门为这项任务设计的新型光流和合成方法。我们的算法在时间上是连贯和高效的,目前在分布式计算平台上大规模运行,每天能够处理数小时的镜头。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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