Multifield-graphs: An approach to visualizing correlations in multifield scalar data

IEEE Transactions on Visualization and Computer Graphics

Volumn 12, Issue 5, 2006, Pages 917-924

  Sauber, Natascha ^a   Theisel, Holger ^a   Seidel, Hans Peter ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

Correlation; Multifield; Visualization

Indexed keywords

DATA VISUALIZATION; INFORMATIVE CORRELATION; MULTIFIELD SCALAR DATA;

COMPUTATION THEORY; CORRELATION METHODS; DATA ACQUISITION; DATA REDUCTION; DATA STRUCTURES; INFORMATION ANALYSIS;

COMPUTER GRAPHICS;

EID: 33845652123     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2006.165     Document Type: Conference Paper

References (28)

1. O. A. A. Helgeland. Visualization of vector fields using seed lie and volume rendering. IEEE Transactions in Visualization and Computer Graphics, 10(6):673-682, 2004.
2. P. Cachier and X. Pennec. Non-rigid registration by gradient descent on a gaussian-windowed similarity measure using convolutions. In Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '00), pages 182-189, 2000.
3. W. Cai and G. Sakas. Data intermixing and multi-volume rendering. In Computer Graphics Forum (Eurographics '99), volume 18(3), pages 359-368, 1999.
4. A. Crouzil, L. Massip-Pailhes, and S. Castan. A new correlation criterion based on gradient fields similarity. In 1996 International Conference on Pattern Recognition (ICPR '96), pages 632-636, 1996.
5. H. Doleisch, M. Oasser, and H. Hauser. Interactive feature specification for focus+context visualization of complex simulation data. In Proceedings on the symposium on Data visualisation 2003 (VISSYM '03), pages 239-248, 2003.
6. H. Doleisch, M. Mayer, M. Gasser, P. Priesching, and H. Hauser. Interactive feature specification for simulation data on time-varying grids. In Simulation and Visualization (SimVis '05), pages 291-304, 2005.
7. H. Edelsbrunner, J. Harer, V. Natarajan, and V. Pascucci. Local and global comparison of continuous functions. In Proceedings conference on Visualization '04 (VIS '04), pages 275-280, 2004.
8. S. Grimm, S. Bruckner, A. Kanitsar, and R. Gröller. Flexible direct multi-volume rendering in interactive scenes. In Vision, Modeling, and Visualization (VMV '04), pages 386-379, 2004.
9. G. Haller. Distinguished material surfaces and coherent structures in three-dimensional fluid flows. Physica D Nonlinear Phenomena, 149:248-277, 2001.
10. G. Haller. An objective definition of a vortex. Journal of Fluid Mechanics, 525:1-26, 2005.
11. G. Hermosillo, C. Chefd'hotel. and O. Faugeras. Variational methods for multimodal image matching. International Journal of Computer Vision, 50(3):329-343, 2002.
12. D. Jen, P. Parente, J. Robbins, C. Weigle, R. M. T. II, A. Burette, and R. Weinberg. Imagesurfer: A tool for visualizing correlations between two volume scalar fields. In Proceedings on the conference on Visualization '04 (VIS '04), pages 529-536, 2004.
13. J. Jeong and F. Hussain. On the identification of a vortex. Journal of Fluid Mechanics, 285:69-94, 1995.
14. C. Johnson. Top scientific visualization research problems. IEEE Computer Graphics and Applications, 24(4):13-17, 2004.
15. R. M. Kirby, H. Marmanis, and D. H. Laidlaw. Visualizing multivalued data from 2d incompressible flows using concepts from painting. In Proceedings of the 10th IEEE Visualization 1999 Conference (VIS '99), pages 333-340, 1999.
16. J. Kniss, C. Hansen, M. Grenier, and T. Robinson. Volume rendering multivariate data to visualize meteorological simulations: a case study. In Proceedings of the symposium on Data Visualisation 2002 (VISSYM '02). pages 189 194, 2002.
17. J. Kniss, G. Kindlmann, and C. Hansen. Multidimensional transfer functions for interactive volume rendering. IEEE Transactions in Visualization and Computer Graphics, 8(3):270 285, 2002.
18. M. Levoy. Display of surfaces from volume data. IEEE Computer Graphics and Application, 8(3):29-37, 1988.
19. W. E. Lorensen and H. E. Cline. Marching cubes: A high resolution 3d surface construction algorithm. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques (SIGGRAPH '87), pages 163-169, 1987.
20. A. Mahalanobis, B. V. Kumar, and A. J. V. Nevel. Volume correlation filters for recognizing patterns in 3d data. In Proceedings of SPIE, volume 4471, pages 51-58, 2001.
21. F. Rössler, R. Tejada, T. Fangmeier, T. Ertl, and M. Knauff. GPU-based Multi-Volume Rendering for the Visualization of Functional Brain Images. In Proceedings of SimVis 2006, pages 305-318, 2006.
22. D. Stalling, M. Westerhoff, and H.-C. Hege. Amira: A highly interactive system for visual data analysis. The Visualization Handbook, pages 749-767, 2005.
23. R. Taylor. Visualizing multiple fields on the same surface. IEEE Computer Graphics and Applications, 22(3):6-10, 2002.
24. A. Telea and J. J. van Wijk. Simplified representation of vector fields. In Proceedings of the conference on Visualization '99 (VIS '99), pages 35-42, 1999.
25. S. T. Teoh and K.-L. Ma. Hifocon: Object and dimensional coherence and correlation in multidimensional visualization. In International Symposium on Visual Computing (ISVC '05), pages 235-242, 2005.
26. T. Urness, V. Interrante, I. Marusic, E. Longmire, and B. Ganapathisubramani. Effectively visualizing multi-valued flow data using color and texture. In Proceedings on the 14th IEEE Visualization 2003 (VIS '03), pages 115-121, 2003.
27. P. C. Wong and R. D. Bergeron. 30 years of multidimensional multivariate visualization. In Scientific Visualization, Overviews, Methodologies, and Techniques, pages 3-33, 1997.
28. P. C. Wong, H. Foote, D. L. Kao, R. Leung, and J. Thomas. Multivariate visualization with data fusion. Information Visualization, 1(3/4):182-193, 2002.