In Proceedings of Graphics Interface
Visibility sweeps for joint-hierarchical importance sampling of direct lighting for stochastic volume rendering
Physically-based light transport in heterogeneous volumetric data is computationally expensive because the rendering integral (particularly visibility) has to be stochastically solved. We present a visibility estimation method in concert with an importance-sampling technique for efficient and unbiased stochastic volume rendering. Our solution relies on a joint strategy, which involves the environmental illumination and visibility inside of the volume. A major contribution of our method is a fast sweeping-plane algorithm to progressively estimate partial occlusions at discrete locations, where we store the result using an octahedral representation. We then rely on a quadtree-based hierarchy to perform a joint importance sampling. Our technique is unbiased, requires little precomputation, is highly parallelizable, and is applicable to a various volume data sets, dynamic transfer functions, and changing environmental lighting.
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@inproceedings{bib:kroes:2015, author = { Kroes, Thomas and Eisemann, Martin and Eisemann, Elmar }, title = { Visibility sweeps for joint-hierarchical importance sampling of direct lighting for stochastic volume rendering }, booktitle = { In Proceedings of Graphics Interface }, year = { 2015 }, pages = { 97--104 }, dblp = { conf/graphicsinterface/KroesEE15 }, url = { https://publications.graphics.tudelft.nl/papers/273 }, }