Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH Computer Graphics
Fast isocontouring for improved interactivity
Proceedings of the 1996 symposium on Volume visualization
Proceedings of the 7th conference on Visualization '96
Complex-valued contour meshing
Proceedings of the 7th conference on Visualization '96
Interval volume tetrahedrization
VIS '97 Proceedings of the 8th conference on Visualization '97
Contour trees and small seed sets for isosurface traversal
SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
Construction of contour trees in 3D in O(n log n) steps
Proceedings of the fourteenth annual symposium on Computational geometry
Extracting iso-valued features in 4-dimensional scalar fields
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Tracking scalar features in unstructured datasets
Proceedings of the conference on Visualization '98
Topology preserving and controlled topology simplifying multiresolution isosurface extraction
Proceedings of the conference on Visualization '00
Isosurfacing in higher dimensions
Proceedings of the conference on Visualization '00
Computer Vision
Efficient computation of the topology of level sets
Proceedings of the conference on Visualization '02
A Predictor-Corrector Technique for Visualizing Unsteady Flow
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
IEEE Computer Graphics and Applications
Computing contour trees in all dimensions
Computational Geometry: Theory and Applications - Fourth CGC workshop on computional geometry
Interval Set: A Volume Rendering Technique Generalizing Isosurface Extraction
VIS '95 Proceedings of the 6th conference on Visualization '95
Visibility Culling for Time-Varying Volume Rendering Using Temporal Occlusion Coherence
VIS '04 Proceedings of the conference on Visualization '04
Volume Interval Segmentation and Rendering
VV '04 Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics
IEEE Transactions on Visualization and Computer Graphics
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities
IEEE Transactions on Visualization and Computer Graphics
Dynamic View Selection for Time-Varying Volumes
IEEE Transactions on Visualization and Computer Graphics
Texture-based feature tracking for effective time-varying data visualization
IEEE Transactions on Visualization and Computer Graphics
Modeling and Visualization Approaches for Time-Varying Volumetric Data
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Efficient isosurface tracking using precomputed correspondence table
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
Generating time lines with virtual words for time-varying data visualization
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Semi-automatic time-series transfer functions via temporal clustering and sequencing
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Visualization and analysis of 3D time-varying simulations with time lines
Journal of Visual Languages and Computing
| Hi-index | 0.00 |
Tracking and visualizing local features from a time-varying volumetric data allows the user to focus on selected regions of interest, both in space and time, which can lead to a better understanding of the underlying dynamics. In this paper, we present an efficient algorithm to track time-varying isosurfaces and interval volumes using isosurfacing in higher dimensions. Instead of extracting the data features such as isosurfaces or interval volumes separately from multiple time steps and computing the spatial correspondence between those features, our algorithm extracts the correspondence directly from the higher dimensional geometry and thus can more efficiently follow the user selected local features in time. In addition, by analyzing the resulting higher dimensional geometry, it becomes easier to detect important topological events and the corresponding critical time steps for the selected features. With our algorithm, the user can interact with the underlying time-varying data more easily. The computation cost for performing time-varying volume tracking is also minimized.