Geometrically deformed models: a method for extracting closed geometric models form volume data
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Octrees for faster isosurface generation
ACM Transactions on Graphics (TOG)
ACM SIGGRAPH Computer Graphics
Computer Vision
Visualizing Vector Field Topology in Fluid Flows
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Vortex tubes in turbulent flows: identification, representation, reconstruction
VIS '94 Proceedings of the conference on Visualization '94
Proceedings of the 7th conference on Visualization '96
Tracking scalar features in unstructured datasets
Proceedings of the conference on Visualization '98
Proceedings of the conference on Visualization '98
Feature Extraction and Iconic Visualization
IEEE Transactions on Visualization and Computer Graphics
Volumetric Data Exploration Using Interval Volume
IEEE Transactions on Visualization and Computer Graphics
Tracking and Visualizing Turbulent 3D Features
IEEE Transactions on Visualization and Computer Graphics
Discovery Visualization Using Fast Clustering
IEEE Computer Graphics and Applications
RF Visualization to Support Airborne Collection Management
IEEE Computer Graphics and Applications
The Feature Tree: Visualizing Feature Tracking in Distributed AMR Datasets
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
Volume Tracking Using Higher Dimensional Isosurfacing
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Flexible isosurfaces: Simplifying and displaying scalar topology using the contour tree
Computational Geometry: Theory and Applications
Efficient isosurface tracking using precomputed correspondence table
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
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Visualization is the process of converting a large set of numbers produced by a numerical simulation or experiment into a graphical image. Since the ultimate goal is to better understand the underlying science, it is crucial to isolate, identify, and quantify important regions and structures. We discuss feature-based techniques which can be incorporated into standard visualization algorithms to greatly enhance the quantification and visualization of observed phenomena.