State-of-the-Art Flow Field Analysis and Visualization
Atlanta, GA, 13 Oct 2013
Level
Intermediate/Advanced
Organizers
Chaoli Wang, Michigan Technological University
Han-Wei Shen, The Ohio State University
Daniel Weiskopf, University of Stuttgart
Tom Peterka, Argonne National Laboratory
Guoning Chen, University of Houston
Abstract
Flow visualization is a central topic in scientific visualization and has been a focused research area for many years. New challenges have arrived as the size and complexity of flow field data continue to grow at astonishing rates. For instance, how to strike a balance between complexity and clarity when visualizing large and complex 3D flow fields? how to design scalable solutions for line integral convolution and particle tracing? and how to detect flow recurrent dynamics via topology study? Traditional flow visualization solutions were not specifically designed to tackle big data in mind and as such, those algorithms and techniques need to be reexamined or new solutions need to be proposed to handle large-scale flow fields.
In an effort to survey recent progress in addressing the above set of diverse challenges, our tutorial covers the following topics: (i) streamlines in 3D: techniques beyond seed placement; (ii) texture-based flow visualization; (iii) graph-based analysis of large scale flow fields; (iv) foundations of data-parallel particle advection; and (v) vector field topology in flow analysis and visualization. The goal of this tutorial is to inform visualization researchers and practitioners the state-of-the-art technologies that have greatly enriched the toolset for analyzing and visualizing large-scale flow field data sets.
Download
Introduction [PDF] (8.1MB)
Streamlines in 3D: Techniques beyond Seed Placement [PDF] (13.5MB)
Texture-Based Flow Visualization [PDF] (2.8MB)
Graph-Based Analysis of Large Scale Flow Fields [PDF] (12.2MB)
Foundations of Data-Parallel Particle Advection [PDF] (5.0MB)
Vector Field Topology in Flow Analysis and Visualization [PDF] (3.8MB)