Flow Textures: High-Resolution Flow Visualization

Erlebacher, Gordon; Jobard, Bruno; Weiskopf, Daniel

doi:10.1016/b978-012387582-2/50015-0

Cited by 15 publications

(4 citation statements)

References 7 publications

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“…Because many of the existing flow algorithms are derived from physical models based on particles, the combination of particle and texture based flow visualization is a natural approach. Erlebacher et al [EJW05] developed a spatio-temporal framework that encompasses many aspects of time-dependent flow visualization. Weiskopf et al [WSEE05] apply the spatio-temporal framework to unsteady flow visualization.…”

Section: Rendering Stage Techniquesmentioning

confidence: 99%

Visualization of Multi‐Variate Scientific Data

Fuchs

Hauser

2009

Computer Graphics Forum

117

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Section: Rendering Stage Techniquesmentioning

confidence: 99%

Visualization of Multi‐Variate Scientific Data

Fuchs

Hauser

2009

Computer Graphics Forum

117

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“…Besides flow visualization by means of topology‐based methods, there exist other approaches not covered in this article, such as dense and texture based and feature based flow visualization . For surveys on these areas of flow visualization, we refer to Laramee et al [LHD*04] and Erlebacher et al [EJW05], respectively Post et al [PVH*03, LHD*04]. Yet another class of approaches are so‐called integration‐based methods .…”

Section: Introductionmentioning

confidence: 99%

The State of the Art in Topology‐Based Visualization of Unsteady Flow

Pobitzer

Peikert

Fuchs

et al. 2011

Computer Graphics Forum

100

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V ector fields are a common concept for the representation of many different kinds of flow phenomena in science and engineering. Methods based on vector field topology are known for their convenience for visualizing and analyzing steady flows, but a counterpart for unsteady flows is still missing. However, a lot of good and relevant work aiming at such a solution is available. We give an overview of previous research leading towards topologybased and topology-inspired visualization of unsteady flow, pointing out the different approaches and methodologies involved as well as their relation to each other, taking classical (i.e., steady) vector field topology as our starting point. Particularly, we focus on Lagrangian methods, space-time domain approaches, local methods, and stochastic and multi-field approaches. Furthermore, we illustrate our review with practical examples for the different approaches.

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“…They yield an effective, dense representation which conveys essential patterns of the vector field and does not require the tedious seeding of individual streamlines to capture all the structure of interest [58]. Arguably the most prominent of those methods is Line Integral Convolution (LIC ) proposed by Cabral and Leedom [59].…”

Section: Texture Representationsmentioning

confidence: 99%