Clifford Fourier Transform on Vector Fields
IEEE Transactions on Visualization and Computer Graphics
Clifford Convolution And Pattern Matching On Vector Fields
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Visual Verification and Analysis of Cluster Detection for Molecular Dynamics
IEEE Transactions on Visualization and Computer Graphics
Moment Invariants for the Analysis of 2D Flow Fields
IEEE Transactions on Visualization and Computer Graphics
CFD visualisation: challenges of complex 3D and 4D data fields
International Journal of Computational Fluid Dynamics - CFD 2006 Held at Queens University at Kingston, Ontario, Canada, 1519 July 2006
A fast and noise-tolerant method for positioning centers of spiraling and circulating vector fields
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Segmentation and visualization of multivariate features using feature-local distributions
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Analysis and visualization of 3-C PIV images from HART II using image processing methods
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Priority streamlines: a context-based visualization of flow fields
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Segmentation of flow fields using pattern matching
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
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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.