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We propose an image warping-based remote rendering technique for volumes thatdecouples the rendering and display phases. Our work builds on prior work thatsamples the volume on the client using ray casting and reconstructs a z-valuebased on some heuristic. The color and depth buffer are then sent to the clientthat reuses this depth image as a stand-in for subsequent frames by warping itaccording to the current camera position until new data was received from theserver. We augment that method by implementing the client renderer using raytracing. By representing the pixel contributions as spheres, this allows us toeffectively vary their footprint based on the distance to the viewer, which wefind to give better results than point-based rasterization when applied tovolumetric data sets.

Augmenting Image Warping-Based Remote Volume Rendering with Ray Tracing