Issue No. 04 - July-Aug. (2012 vol. 32)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2012.49
Wesley Kendall , University of Tennessee, Knoxville
Jian Huang , University of Tennessee, Knoxville
Tom Peterka , Agronne National Laboratory
Interactive exploration of flow features in large-scale 3D unsteady-flow data is one of the most challenging visualization problems today. To comprehensively explore the complex feature spaces in these datasets, a proposed system employs a scalable framework for investigating a multitude of characteristics from traced field lines. This capability supports the examination of various neighborhood-based geometric attributes in concert with other scalar quantities. Such an analysis wasn't previously possible because of the large computational overhead and I/O requirements. The system integrates visual analytics methods by letting users procedurally and interactively describe and extract high-level flow features. An exploration of various phenomena in a large global ocean-modeling simulation demonstrates the approach's generality and expressiveness as well as its efficacy.
Feature extraction, Geometry, Large-scale systems, Visualization, Three dimensional displays, Visual analytics
Wesley Kendall, Jian Huang, Tom Peterka, "Geometric Quantification of Features in Large Flow Fields", IEEE Computer Graphics and Applications, vol. 32, no. , pp. 46-54, July-Aug. 2012, doi:10.1109/MCG.2012.49