Tracking scalar features in unstructured data sets

3D time-varying unstructured and structured data sets are difficult to visualize and analyze because of the immense amount of data involved. These data sets contain many evolving amorphous regions, and standard visualization techniques provide no facilities to aid the scientist to follow regions of interest. In this paper, we present a basic framework for the visualization of time-varying data sets, and a new algorithm and data structure to track volume features in unstructured scalar data sets. The algorithm and data structure are general and can be used for structured, curvilinear, adaptive and hybrid grids as well. The features tracked can be any type of connected regions. Examples are shown from ongoing research.

[1]  G. Nielson,et al.  Interval volume tetrahedrization , 1997 .

[2]  Lambertus Hesselink,et al.  Visualizing vector field topology in fluid flows , 1991, IEEE Computer Graphics and Applications.

[3]  Kevin I. Hodges,et al.  A General Method for Tracking Analysis and Its Application to Meteorological Data , 1994 .

[4]  A. Siegel,et al.  A Wavelet-Packet Census Algo-rithm for Calculating Vortex Statistics , 1997 .

[5]  Xin Wang,et al.  Tracking and Visualizing Turbulent 3D Features , 1997, IEEE Trans. Vis. Comput. Graph..

[6]  Deborah Silver,et al.  Object-oriented visualization , 1995, IEEE Computer Graphics and Applications.

[7]  Y. Arnaud,et al.  Automatic tracking and characterization of African convective systems on Meteosat pictures , 1992 .

[8]  Deborah Silver,et al.  Visualizing features and tracking their evolution , 1994, Computer.

[9]  Kevin I. Hodges,et al.  Feature Tracking on the Unit Sphere , 1995 .

[10]  N. Zabusky,et al.  Ellipsoidal quantification of evolving phenomena , 1991 .

[11]  David C. Banks,et al.  A Predictor-Corrector Technique for Visualizing Unsteady Flow , 1995, IEEE Trans. Vis. Comput. Graph..

[12]  Don Speray,et al.  Volume probes: interactive data exploration on arbitrary grids , 1990, SIGGRAPH 1990.

[13]  J. Boyd,et al.  A staggered spectral element model with application to the oceanic shallow , 1995 .

[14]  Ishwar K. Sethi,et al.  Finding Trajectories of Feature Points in a Monocular Image Sequence , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Tosiyasu L. Kunii,et al.  Constructing a Reeb graph automatically from cross sections , 1991, IEEE Computer Graphics and Applications.

[16]  Alain Vincent,et al.  An algorithm for space recognition and time tracking of vorticity tubes in turbulence , 1992, CVGIP Image Underst..

[17]  Frits H. Post,et al.  Deformable Surface Techniques for Field Visualization , 1997, Comput. Graph. Forum.

[18]  Xin Wang,et al.  Volume tracking , 1996, Proceedings of Seventh Annual IEEE Visualization '96.

[19]  Baining Guo.  Interval set: a volume rendering technique generalizing isosurface extraction , 1995, Proceedings Visualization '95.

[20]  Robert M. O'Bara,et al.  Geometrically deformed models: a method for extracting closed geometric models form volume data , 1991, SIGGRAPH.

[21]  T. van Walsum,et al.  Selective visualization on curvilinear grids , 1995 .

[22]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[23]  D. I. Pullin,et al.  Merger and cancellation of strained vortices , 1989, Journal of Fluid Mechanics.

[24]  Ingrid Carlbom,et al.  SIGGRAPH'91 Workshop Report Integrating Computer Graphics, Computer Vision, and Image Processing in Scientific Applications , 1992, COMG.

[25]  Rüdiger Westermann,et al.  Compression domain rendering of time-resolved volume data , 1995, Proceedings Visualization '95.