Construction of vector field hierarchies

Presents a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The input to our algorithm is a discrete set of points with associated vectors. The algorithm generates a top-down segmentation of the discrete field by splitting clusters of points. We measure the error of the various approximation levels by measuring the discrepancy between streamlines generated by the original discrete field and its approximations based on much smaller discrete data sets. Our method assumes no particular structure of the field, nor does it require any topological connectivity information. It is possible to generate multi-resolution representations of vector fields using this approach.

[1]  B. Manly Multivariate Statistical Methods : A Primer , 1986 .

[2]  Kwan-Liu Ma,et al.  Efficient Streamline, Streamribbon, and Streamtube Constructions on Unstructured Grids , 1996, IEEE Trans. Vis. Comput. Graph..

[3]  Bernd Hamann,et al.  Surface Reconstruction Using Adaptive Clustering Methods , 1999, Geometric Modelling.

[4]  Bernd Hamann,et al.  Visualizing and modeling scattered multivariate data , 1991, IEEE Computer Graphics and Applications.

[5]  Bernd Hamann,et al.  Cluster-Based Generation of Hierarchical Surface Models , 1997, Scientific Visualization Conference (dagstuhl '97).

[6]  H. Hotelling Analysis of a complex of statistical variables into principal components. , 1933 .

[7]  J. Edward Jackson,et al.  A User's Guide to Principal Components. , 1991 .

[8]  Gregory M. Nielson,et al.  Wavelets over curvilinear grids , 1998 .

[9]  HesselinkLambertus,et al.  Representation and Display of Vector Field Topology in Fluid Flow Data Sets , 1989 .

[10]  Hanan Samet,et al.  The Design and Analysis of Spatial Data Structures , 1989 .

[11]  Lambertus Hesselink,et al.  Representation and display of vector field topology in fluid flow data sets , 1989, Computer.

[12]  J. E. Jackson A User's Guide to Principal Components , 1991 .

[13]  Gregory M. Nielson,et al.  Scattered Data Interpolation and Applications: A Tutorial and Survey , 1991 .

[14]  R. L. Hardy Multiquadric equations of topography and other irregular surfaces , 1971 .

[15]  Richard Franke,et al.  Smooth interpolation of large sets of scattered data , 1980 .

[16]  R. L. Hardy Theory and applications of the multiquadric-biharmonic method : 20 years of discovery 1968-1988 , 1990 .

[17]  Gregory M. Nielson,et al.  Haar wavelets over triangular domains with applications to multiresolution models for flow over a sphere , 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).