Fabric-Like Visualization of Tensor Field Data on Arbitrary Surfaces in Image Space
Title | Fabric-Like Visualization of Tensor Field Data on Arbitrary Surfaces in Image Space |
Publication Type | Book Chapter |
Year of Publication | 2012 |
Authors | Eichelbaum, Sebastian, Mario Hlawitschka, Hamann Bernd, and Gerik Scheuermann |
Editor | Laidlaw, David H., and Vilanova Anna |
Book Title | New Developments in the Visualization and Processing of Tensor Fields |
Series Title | Mathematics and Visualization |
Pagination | 71-92 |
Publisher | Springer Berlin Heidelberg |
ISBN Number | 978-3-642-27342-1 |
Abstract | Tensors are of great interest to many applications in engineering and in medical imaging, but a proper analysis and visualization remains challenging. It already has been shown that, by employing the metaphor of a fabric structure, tensor data can be visualized precisely on surfaces where the two eigendirections in the plane are illustrated as thread-like structures. This leads to a continuous visualization of most salient features of the tensor data set. We introduce a novel approach to compute such a visualization from tensor field data that is motivated by image-space line integral convolution (LIC). Although our approach can be applied to arbitrary, non-selfintersecting surfaces, the main focus lies on special surfaces following important features, such as surfaces aligned to the neural pathways in the human brain. By adding a postprocessing step, we are able to enhance the visual quality of the of the results, which improves perception of the major patterns. |
URL | http://dx.doi.org/10.1007/978-3-642-27343-8_4 |
DOI | 10.1007/978-3-642-27343-8_4 |
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