no code implementations • 15 Jul 2022 • Mengjiao Han, Tushar M. Athawale, David Pugmire, Chris R. Johnson
Probabilistic marching cubes is a technique that performs Monte Carlo sampling of multivariate Gaussian noise distributions for positional uncertainty visualization of level sets.
no code implementations • 15 Oct 2021 • Mengjiao Han, Sudhanshu Sane, Chris R. Johnson
Overall, we find our method requires a fixed memory footprint of 10. 5 MB to encode a Lagrangian representation of a time-varying vector field while maintaining accuracy.