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A Video-Based Rendering Acceleration Algorithm for Interactive Walkthroughs

机译:一种基于视频渲染加速算法,用于交互式演练

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We present a new approach for faster rendrring of large synthetic environments using video-based representations. We decompose the large environment into cells and pre-compute video based impostors using MPEG compression to represent sets of objects that are far from each cell. At runtime , we decode the MPEG streams and use redndering algorithms that provide nearly constant-time random access to any frame. The resulting system has been implemented and used for an interactive walkthrough of a model of a house with 260,000 polygons and realistic lighting and tedxtures. It is able to render this model at 16 frames per sceond (an eightfold improvement over simpler algorithms) on average on a Pentium II PC with an off-the-shelf graphics card.
机译:我们使用基于视频的表示提出了一种新方法,以便使用基于视频的表示来更快的大型合成环境的rendring。我们将大型环境分解为单元格和使用MPEG压缩的基于视频基于视频的识别者,以表示远离每个小区的对象集。在运行时,我们解码MPEG流并使用Redndering算法提供对任何帧的几乎恒定时间随机访问。由此产生的系统已经实施,并用于一个带有260,000个多边形和现实照明和TEDXTURE的房屋型号的交互式演练。它能够平均地在每位SCEOND(更简单的算法上的八倍改善)的16帧中呈现此模型,其中普通的II PC具有现成的图形卡。

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