Title :
Construction of vector field hierarchies
Author :
Heckel, Bjoern ; Weber, Gunther ; Hamann, Bernd ; Joy, Kenneth I.
Author_Institution :
Dept. of Comput. Sci., California Univ., Davis, CA, USA
Abstract :
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.
Keywords :
approximation theory; data reduction; data visualisation; iterative methods; mathematics computing; pattern clustering; principal component analysis; vectors; Hardy´s multiquadric method; approximation level error measurement; binary space partitioning; clustering; data simplification; discrete data sets; discrete field; discrete point set; field structure; iterative refinement; multiresolution representations; point cluster splitting; principal component analysis; streamline discrepancy measurement; top-down segmentation; topological connectivity; vector field hierarchy construction; vector field visualization; Clustering algorithms; Computational modeling; Computer science; Computer simulation; Data visualization; Image processing; Iterative algorithms; Iterative methods; Principal component analysis;
Conference_Titel :
Visualization '99. Proceedings
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-5897-X
DOI :
10.1109/VISUAL.1999.809863