DocumentCode
1225708
Title
Three-dimensional flow characterization using vector pattern matching
Author
Heiberg, Einar ; Ebbers, Tino ; Wigström, Lars ; Karlsson, Matts
Author_Institution
Linkoping Univ., Sweden
Volume
9
Issue
3
fYear
2003
Firstpage
313
Lastpage
319
Abstract
This paper describes a novel method for regional characterization of three-dimensional vector fields using a pattern matching approach. Given a three-dimensional vector field, the goal is to automatically locate, identify, and visualize a selected set of classes of structures or features. Rather than analytically defining the properties that must be fulfilled in a region in order to be classified as a specific structure, a set of idealized patterns for each structure type is constructed. Similarity to these patterns is then defined and calculated. Examples of structures of interest include vortices, swirling flow, diverging or converging flow, and parallel flow. Both medical and aerodynamic applications are presented in this paper.
Keywords
convolution; feature extraction; flow visualisation; pattern matching; vortices; 3D vector fields; convolution; feature detection; flow topology; flow visualization; noise sensitivity; pattern matching; regional characterization; vector pattern matching; vortex identification; Aerodynamics; Computer vision; Data mining; Data visualization; Jacobian matrices; Pattern matching; Sea measurements; Spirals; Tensile stress; Topology;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2003.1207439
Filename
1207439
Link To Document