Similarity-Guided Streamline Placement with Error Evaluation
Description:
Most streamline generation algorithms either provide a particular density of streamlines across the domain or explicitly detect features, such as critical points, and follow customized rules to emphasize those features. However, the former generally includes many redundant streamlines, and the latter requires Boolean decisions on which points are features (and may thus suffer from robustness problems for real-world data). We take a new approach to adaptive streamline placement for steady vector…
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Date:
August 15, 2007
Creator:
Chen, Y.; Cohen, J. D. & Krolik, J. H.
Partner:
UNT Libraries Government Documents Department