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Philipp C. Leube

dblp:51/10398 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
flow visualization
0.112011
Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty · IEEE Trans. Vis. Comput. Graph. 2011
Visualization and visual analytics
scientific visualization
0.112011
Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty · IEEE Trans. Vis. Comput. Graph. 2011
Visualization and visual analytics
uncertainty visualization
0.112011
Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty · IEEE Trans. Vis. Comput. Graph. 2011
Visualization and visual analytics › flow visualization
unsteady flow visualization
0.112011
Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty · IEEE Trans. Vis. Comput. Graph. 2011
Visualization and visual analytics › visual encoding
glyph-based visualization
0.012011
Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty · IEEE Trans. Vis. Comput. Graph. 2011
Visualization and visual analytics
visual analytics
0.012011
Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty · IEEE Trans. Vis. Comput. Graph. 2011

Methods — techniques the papers use, named apart from their topics

GPU-accelerated rendering · 0.1
YearPublicationVenuePosition
2011 Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty
abstract
A new type of glyph is introduced to visualize unsteady flow with static images, allowing easier analysis of time-dependent phenomena compared to animated visualization. Adopting the visual metaphor of radar displays, this glyph represents flow directions by angles and time by radius in spherical coordinates. Dense seeding of flow radar glyphs on the flow domain naturally lends itself to multi-scale visualization: zoomed-out views show aggregated overviews, zooming-in enables detailed analysis of spatial and temporal characteristics. Uncertainty visualization is supported by extending the glyph to display possible ranges of flow directions. The paper focuses on 2D flow, but includes a discussion of 3D flow as well. Examples from CFD and the field of stochastic hydrogeology show that it is easy to discriminate regions of different spatiotemporal flow behavior and regions of different uncertainty variations in space and time. The examples also demonstrate that parameter studies can be analyzed because the glyph design facilitates comparative visualization. Finally, different variants of interactive GPU-accelerated implementations are discussed.
Marcel Hlawatsch, Philipp C. Leube, Wolfgang Nowak, Daniel Weiskopf
IEEE Trans. Vis. Comput. Graph.2