Three-dimensional flow characterization using vector pattern matching
(2003) In IEEE Transactions on Visualization and Computer Graphics 9(3). p.313-319- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2a8724e9-8019-48f0-b3ba-a6408f9fbedc
- author
- Heiberg, Einar LU ; Ebbers, Tino ; Wigström, Lars and Karlsson, Matts
- publishing date
- 2003
- type
- Contribution to journal
- publication status
- published
- keywords
- Feature detection, Flow topology, Noise sensitivity, Vortex identification
- in
- IEEE Transactions on Visualization and Computer Graphics
- volume
- 9
- issue
- 3
- pages
- 313 - 319
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:0042349290
- ISSN
- 1077-2626
- DOI
- 10.1109/TVCG.2003.1207439
- language
- English
- LU publication?
- no
- id
- 2a8724e9-8019-48f0-b3ba-a6408f9fbedc
- date added to LUP
- 2022-10-21 10:23:25
- date last changed
- 2022-10-21 11:25:37
@article{2a8724e9-8019-48f0-b3ba-a6408f9fbedc, abstract = {{<p>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.</p>}}, author = {{Heiberg, Einar and Ebbers, Tino and Wigström, Lars and Karlsson, Matts}}, issn = {{1077-2626}}, keywords = {{Feature detection; Flow topology; Noise sensitivity; Vortex identification}}, language = {{eng}}, number = {{3}}, pages = {{313--319}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Visualization and Computer Graphics}}, title = {{Three-dimensional flow characterization using vector pattern matching}}, url = {{http://dx.doi.org/10.1109/TVCG.2003.1207439}}, doi = {{10.1109/TVCG.2003.1207439}}, volume = {{9}}, year = {{2003}}, }