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,parallel I/O, Feature extraction, Geometry, Large-scale systems, Visualization, Three dimensional displays, Visual analytics, large-scale data analysis, Feature extraction, Geometry, Tornadoes, Visualization, Pipelines, Ocean temperature, computer graphics, geometric flow analysis, feature extraction, particle tracing
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