论文标题
体积深度图像的有效射线播放,以远程可视化大量的高框架速率
Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame Rates
论文作者
论文摘要
我们提出了用于渲染体积深度图像(VDIS)的有效的光线播放算法,并展示如何在远程可视化设置中使用VDIS生成并从远程服务器进行流式传输。 VDI是紧凑的视图卷表示,通过将视点变化从昂贵的渲染计算中变化,可以在高框架速率下以高帧速率进行交互式可视化。但是,目前为VDI的渲染方法与在高图像分辨率下实现交互式帧速率斗争。在这里,我们利用透视图投影的属性来简化射线与VDI中的视图相交的交叉点,并在音量数据中利用空间平滑度,以最大程度地减少内存访问。基准测试表明,响应型帧速率可以接近HD显示屏的发电观点,从而提供了高保真的近似值效果。我们还提出了一种将VDI进行预览渲染的方法,即使对于大较大的观点偏差,也可以保持高帧速率。我们将实施方式作为已建立的开源可视化库的扩展。
We present an efficient raycasting algorithm for rendering Volumetric Depth Images (VDIs), and we show how it can be used in a remote visualization setting with VDIs generated and streamed from a remote server. VDIs are compact view-dependent volume representations that enable interactive visualization of large volumes at high frame rates by decoupling viewpoint changes from expensive rendering calculations. However, current rendering approaches for VDIs struggle with achieving interactive frame rates at high image resolutions. Here, we exploit the properties of perspective projection to simplify intersections of rays with the view-dependent frustums in a VDI and leverage spatial smoothness in the volume data to minimize memory accesses. Benchmarks show that responsive frame rates can be achieved close to the viewpoint of generation for HD display resolutions, providing high-fidelity approximate renderings of Gigabyte-sized volumes. We also propose a method to subsample the VDI for preview rendering, maintaining high frame rates even for large viewpoint deviations. We provide our implementation as an extension of an established open-source visualization library.