基于光线追踪的增强图像扭曲远程体渲染
Augmenting Image Warping-Based Remote Volume Rendering with Ray Tracing
摘要：
我们提出了一种基于图像扭曲的远程渲染技术，用于体积，并行的渲染和显示阶段。我们的工作建立在以前的工作，使用光线投射在客户端上的体积进行采样，并根据一些启发式重建z值。然后，颜色和深度缓冲区被发送到客户端，客户端通过根据当前相机位置扭曲深度图像，直到从服务器接收到新数据，将深度图像重新用作后续帧的替身。我们通过使用光线追踪实现客户端渲染器来增强该方法。通过将像素贡献表示为球体，这使我们能够有效地根据与查看者的距离来改变它们的足迹，我们发现当应用于体积数据集时，这比基于点的光栅化提供了更好的结果。
英文摘要：
We propose an image warping-based remote rendering technique for volumes that decouples the rendering and display phases. Our work builds on prior work that samples the volume on the client using ray casting and reconstructs a z-value based on some heuristic. The color and depth buffer are then sent to the client that reuses this depth image as a stand-in for subsequent frames by warping it according to the current camera position until new data was received from the server. We augment that method by implementing the client renderer using ray tracing. By representing the pixel contributions as spheres, this allows us to effectively vary their footprint based on the distance to the viewer, which we find to give better results than point-based rasterization when applied to volumetric data sets.
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