Progressive CPU Volume Rendering with Sample Accumulation
Will Usher, Jefferson Amstutz, Carson Brownlee, Aaron Knoll, and Ingo Wald
In Eurographics Symposium on Parallel Graphics and Visualization, 2017.
Abstract
We present a new method for progressive volume rendering by accumulating object-space samples over successively rendered frames. Existing methods for progressive refinement either use image space methods or average pixels over frames, which can blur features or integrate incorrectly with respect to depth. Our approach stores samples along each ray, accumulates new samples each frame into a buffer, and progressively interleaves and integrates these samples. Though this process requires additional memory, it ensures interactivity and is well suited for CPU architectures with large memory and cache. This approach also extends well to distributed rendering in cluster environments. We implement this technique in Intel’s open source OSPRay CPU ray tracing framework and demonstrate that it is particularly useful for rendering volumetric data with costly sampling functions.
Content
BibTeX
@inproceedings{Usher_SAVR_2017, booktitle={Eurographics Symposium on Parallel Graphics and Visualization}, editor={Alexandru Telea and Janine Bennett}, title={{Progressive CPU Volume Rendering with Sample Accumulation}}, author={Usher, Will and Amstutz, Jefferson and Brownlee, Carson and Knoll, Aaron and Wald, Ingo}, year={2017}, publisher={The Eurographics Association}, issn={1727-348X}, isbn={978-3-03868-034-5}, doi={10.2312/pgv.20171090} }