Particle-Based Anisotropic Sampling for Two-Dimensional Tensor Field Visualization

Kratz, Andrea; Kettlitz, Nino; Hotz, Ingrid

Particle-Based Anisotropic Sampling for Two-Dimensional Tensor Field Visualization

Files

145-152.pdf (2.35 MB)

Date

2011

Authors

Kratz, Andrea
Kettlitz, Nino
Hotz, Ingrid

Publisher

The Eurographics Association

Abstract

We present a particle-based approach to generate unstructured distributions of elliptical samples. Size and shape of the samples are determined by a local metric that is derived from a two-dimensional tensor field. In contrast to previous methods, we propose the use of an anisotropic Delaunay triangulation of particle positions. It guarantees exact neighbor computations and provides a good means for an explicit and automatic control of prominent holes and overlaps, which otherwise would result in unpleasant visualizations. We use the final distribution to compute a generalized Voronoi diagram, which represents a novel and flexible visualization technique for two-dimensional tensor fields. Via texturing of Voronoi regions, many possibilities arise to design the final image.

        @inproceedings{:10.2312/PE/VMV/VMV11/145-152
,
booktitle = {Vision, Modeling, and Visualization (2011)
},
editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier
},
title = {{Particle-Based Anisotropic Sampling for Two-Dimensional Tensor Field Visualization
}},
author = {Kratz, Andrea and 
Kettlitz, Nino and 
Hotz, Ingrid
},
year = {2011
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-85-2
},
DOI = {/10.2312/PE/VMV/VMV11/145-152
}
}