RS Laramee, H Hauser, L Zhao, FH Post - Topology-based methods in …, 2007 - Springer
Flow visualization research has made rapid advances in recent years, especially in the area of topology-based flow visualization. The ever increasing size of scientific data sets favors …
T McLoughlin, RS Laramee, R Peikert… - Computer Graphics …, 2010 - Wiley Online Library
With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them …
C Heine, H Leitte, M Hlawitschka… - Computer Graphics …, 2016 - Wiley Online Library
This paper presents the state of the art in the area of topology‐based visualization. It describes the process and results of an extensive annotation for generating a definition and …
C Garth, F Gerhardt, X Tricoche… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
The recently introduced notion of Finite-Time Lyapunov Exponent to characterize Coherent Lagrangian Structures provides a powerful framework for the visualization and analysis of …
J Huang, Y Xi, J Hu, J Tao - IEEE Transactions on Visualization …, 2022 - ieeexplore.ieee.org
Flow visualization is essentially a tool to answer domain experts' questions about flow fields using rendered images. Static flow visualization approaches require domain experts to raise …
Acceleration is a fundamental quantity of flow fields that captures Galilean invariant properties of particle motion. Considering the magnitude of this field, minima represent …
We present an approach for monitoring the positions of vector field singularities and related structural changes in time-dependent datasets. The concept of singularity index is discussed …
W Von Funck, T Weinkauf, H Theisel… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
Smoke rendering is a standard technique for flow visualization. Most approaches are based on a volumetric, particle based, or image based representation of the smoke. This paper …
M Berenjkoub, G Chen… - 2020 IEEE Visualization …, 2020 - ieeexplore.ieee.org
Feature extraction is an integral component of scientific visualization, and specifically in situations in which features are difficult to formalize, deep learning has great potential to aid …