Hierarchical image caching for accelerated walkthroughs of complex environments

Jonathan Shade, Dani Lischinski, D. Salesin, T. DeRose, John M. Snyder
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引用次数: 321

Abstract

We present a new method that utilizes path coherence to accelerate walkthroughs of geometrically complex static scenes. As a preprocessing step, our method constructs a BSP-tree that hierarchically partitions the geometric primitives in the scene. In the course of a walkthrough, images of nodes at various levels of the hierarchy are cached for reuse in subsequent frames. A cached image is reused by texture-mapping it onto a single quadrilateral that is drawn instead of the geometry contained in the corresponding node. Visual artifacts are kept under control by using an error metric that quantifies the discrepancy between the appearance of the geometry contained in a node and the cached image. The new method is shown to achieve speedups of an order of magnitude for walkthroughs of a complex outdoor scene, with little or no loss in rendering quality. CR
用于加速复杂环境演练的分层图像缓存
我们提出了一种利用路径相干性来加速几何复杂静态场景的演练的新方法。作为预处理步骤,我们的方法构建了一个bsp树,对场景中的几何原语进行分层划分。在演练过程中,将缓存层次结构各个级别的节点映像,以便在后续帧中重用。通过将缓存的图像纹理映射到绘制的单个四边形上,而不是相应节点中包含的几何图形,可以重用缓存的图像。通过使用误差度量来量化节点中包含的几何外观与缓存图像之间的差异,可以控制视觉工件。新方法被证明可以实现一个数量级的复杂户外场景演练的加速,而渲染质量几乎没有损失。CR
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