7 papers
Distribution-Agnostic Isocontour Confidence Bounds for Robust Uncertainty Visualization of Scalar Field Data
Timbwaoga A. J. Ouermi, Nina M. Gottschling, Alex Gorczowski +1
Uncertainty visualization has been shown to be pivotal for conveying the reliability of features extracted from scalar fields. Features represented by isocontours, mean isocontours…
REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization
Shanu Saklani, Tushar M. Athawale, Nairita Pal +3
Applications of Implicit Neural Representations (INRs) have emerged as a promising deep learning approach for compactly representing large volumetric datasets. These models can act…
Efficient Probabilistic Visualization of Local Divergence of 2D Vector Fields with Independent Gaussian Uncertainty
Timbwaoga A. J. Ouermi, Eric Li, Kenneth Moreland +3
This work focuses on visualizing uncertainty of local divergence of two-dimensional vector fields. Divergence is one of the fundamental attributes of fluid flows, as it can help do…
An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
Robert Sisneros, Tushar M. Athawale, David Pugmire +1
We present a simple comparative framework for testing and developing uncertainty modeling in uncertain marching cubes implementations. The selection of a model to represent the pro…
Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods
Timbwaoga A. J. Ouermi, Jixian Li, Tushar Athawale +1
Isosurface visualization is fundamental for exploring and analyzing 3D volumetric data. Marching cubes (MC) algorithms with linear interpolation are commonly used for isosurface ex…
Uncertainty-Informed Volume Visualization using Implicit Neural Representation
Shanu Saklani, Chitwan Goel, Shrey Bansal +5
The increasing adoption of Deep Neural Networks (DNNs) has led to their application in many challenging scientific visualization tasks. While advanced DNNs offer impressive general…