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Proceedings Paper

Evaluation of stream surfaces using error quantification metrics
Author(s): Ayan Biswas; Han-Wei Shen
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Paper Abstract

Visualizing stream surfaces in three-dimensional flow fields is a popular flow visualization method for its ability to depict flow structures with better depth cues compared to simply rendering a large number of streamlines. Computing stream surfaces accurately, however, is non-trivial since the result can be sensitive to multiple factors such as the accuracy of numerical integration, placement of sampling seeds, and tessellation of sample points to generate high quality polygonal meshes. To date, there exist multiple stream surface generation algorithms but verification and evaluation of the quality of the stream surfaces remain an open area of research. In this paper we address this issue, propose different stream surface evaluation metrics and study different aspects of stream surface generation process like choice of algorithms, seeding curve placement, initial seeding curve density, choice of algorithm parameters with four verification metrics to reach meaningful conclusions.

Paper Details

Date Published: 3 February 2014
PDF: 8 pages
Proc. SPIE 9017, Visualization and Data Analysis 2014, 90170Z (3 February 2014); doi: 10.1117/12.2036465
Show Author Affiliations
Ayan Biswas, The Ohio State Univ. (United States)
Han-Wei Shen, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 9017:
Visualization and Data Analysis 2014
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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