Ray Tracing Generalized Tube Primitives: Method and Applications
Mengjiao Han, Ingo Wald, Will Usher, Qi Wu, Feng Wang, Valerio Pascucci, Charles D. Hansen, and Chris R. Johnson
In Computer Graphics Forum (Proceedings of EuroVis), 2019.
Abstract
We present a general high-performance technique for ray tracing generalized tube primitives. Our technique efficiently supports tube primitives with fixed and varying radii, general acyclic graph structures with bifurcations, and correct transparency with interior surface removal. Such tube primitives are widely used in scientific visualization to represent diffusion tensor imaging tractographies, neuron morphologies, and scalar or vector fields of 3D flow. We implement our approach within the OSPRay ray tracing framework, and evaluate it on a range of interactive visualization use cases of fixed- and varying-radius streamlines, pathlines, complex neuron morphologies, and brain tractographies. Our proposed approach provides interactive, high-quality rendering, with low memory overhead.
BibTeX
@article{han_ray_2019, journal = {Computer Graphics Forum}, title = {{Ray Tracing Generalized Tube Primitives: Method and Applications}}, author = {Han, Mengjiao and Wald, Ingo and Usher, Will and Wu, Qi and Wang, Feng and Pascucci, Valerio and Hansen, Charles D. and Johnson, Chris R.}, year = {2019}, publisher = {The Eurographics Association and John Wiley & Sons Ltd.}, ISSN = {1467-8659}, DOI = {10.1111/cgf.13703} }