In this chapter we define the topology of two-dimensional (2D) asymmetric tensor fields in terms of two graphs corresponding to the eigenvalue and eigenvector analysis for tensor fields, respectively. Asymmetric tensor field topology can not only yield a concise representation of the field, but also provide a framework for spatial-temporal tracking of field features. Furthermore, inherent topological constraints in asymmetric tensor fields can be identified unambiguously through these graphs. We also describe efficient algorithms to compute the topology of a given 2D asymmetric tensor field. We demonstrate the utility of our graph representations for asymmetric tensor field topology with fluid simulation data sets.
CITATION STYLE
Lin, Z., Yeh, H., Laramee, R. S., & Zhang, E. (2012). 2D asymmetric tensor field topology. In Mathematics and Visualization (Vol. 0, pp. 191–204). Springer Heidelberg. https://doi.org/10.1007/978-3-642-23175-9_13
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