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Gordon Mallinson

dblp:11/5713 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
flow visualization
0.011996
Visualizing Unstructured Flow Data Using Dual Stream Functions · IEEE Trans. Vis. Comput. Graph. 1996
Visualization and visual analytics
scientific visualization
0.011996
Visualizing Unstructured Flow Data Using Dual Stream Functions · IEEE Trans. Vis. Comput. Graph. 1996
Visualization and visual analytics › flow visualization
stream surfaces
0.011996
Visualizing Unstructured Flow Data Using Dual Stream Functions · IEEE Trans. Vis. Comput. Graph. 1996

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

numerical integration · 0.0dual stream functions · 0.0
YearPublicationVenuePosition
1996 Visualizing Unstructured Flow Data Using Dual Stream Functions
abstract
One of the most important ways of visualizing fluid flow is the construction of streamlines, which are lines that are everywhere tangential to the local fluid velocity. Stream surfaces are defined as surfaces through which no fluid penetrates. Streamlines can therefore be computed from the intersection of two nonparallel stream surfaces. This paper presents new algorithms for the computation of dual stream functions from computational fluid dynamics data that is defined on an unstructured tetrahedral mesh. These algorithms are compared with standard numerical routines for computing streamlines, and are shown to be quicker and more accurate than techniques involving numerical integration along the streamline.
David Knight, Gordon Mallinson
IEEE Trans. Vis. Comput. Graph.2