@article {786,
	title = {Tensor Field Visualization using Fiber Surfaces of Invariant Space},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {25},
	year = {2018},
	month = {01/2019},
	pages = {1122-1131},
	chapter = {1122},
	abstract = {Scientific visualization developed successful methods for scalar and vector fields. For tensor fields, however, effective, interactive visualizations are still missing despite progress over the last decades. We present a general approach for the generation of separating surfaces in symmetric, second-order, three-dimensional tensor fields. These surfaces are defined as fiber surfaces of the invariant space, i.e. as pre-images of surfaces in the range of a complete set of invariants. This approach leads to a generalization of the fiber surface algorithm by Klacansky et al. [16] to three dimensions in the range. This is due to the fact that the invariant space is three-dimensional for symmetric second-order tensors over a spatial domain. We present an algorithm for surface construction for simplicial grids in the domain and simplicial surfaces in the invariant space. We demonstrate our approach by applying it to stress fields from component design in mechanical engineering.},
	keywords = {fiber surface, Geometry, interaction, invariants, Mechanical engineering, Neuroscience, Strain, Tensile stress, tensor field, Visualization},
	issn = {1077-2626},
	doi = {10.1109/TVCG.2018.2864846},
	url = {https://ieeexplore.ieee.org/document/8447439},
	author = {Felix Raith and Christian Blecha and Thomas Nagel and Francesco Parisio and Olaf Kolditz and Fabian G{\"u}nther and Markus Stommel and Gerik Scheuermann}
}
