Joint Contour Nets: Topological Analysis of Multi-Variate Data
نویسنده
چکیده
Contour Trees and Reeb Graphs are firmly embedded in scientific visualization for analysing univariate (scalar) fields. We generalize this analysis to multivariate fields with a data structure called the Joint Contour Net that quantizes the variation of multiple variables simultaneously. We report the first algorithm for constructing the Joint Contour Net. We also demonstrate that Contour Trees for individual variables can be extracted from the Joint Contour Net.
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