论文标题

增强基于图像翘曲的远程音量渲染

Augmenting Image Warping-Based Remote Volume Rendering with Ray Tracing

论文作者

Zellmann, Stefan

论文摘要

我们为基于图像翘曲的远程渲染技术提出了用于将渲染和显示阶段解散的卷。我们的工作以先前的工作为基础,该工作使用射线铸造来对客户的体积进行采样,并根据某些启发式措施重建Z值。然后将颜色和深度缓冲区发送到客户端,该客户端将此深度图像重新作为后续帧,通过根据当前的摄像机位置翘曲,直到从服务器收到新数据为止。我们通过使用射线跟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,这使我们能够根据与查看器的距离有效地改变其足迹,当应用于体积数据集时,我们发现,与基于点的栅格相比,我们发现它比基于点的栅格更好。

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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