Interactive visualization of function fields by range-space segmentation

Computer Graphics Forum

Volumn 28, Issue 3, 2009, Pages 727-734

  Anderson, John C ^a   Gosink, Luke J ^a   Duchaineau, Mark A ^b   Joy, Kenneth I ^a  

^a University of California Davis   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; FEATURE EXTRACTION; SPECTROSCOPY; VISUALIZATION;

AIR QUALITY SIMULATION; DIMENSION REDUCTION; FEATURE EXTRACTION METHODS; HIGH-DIMENSIONAL; INTERACTIVE VISUALIZATIONS; PARTICULATE POLLUTION; SPECTRAL IMAGERY; VISUALIZATION AND ANALYSIS;

DATA VISUALIZATION;

EID: 68549109640     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2009.01480.x     Document Type: Article

References (35)

1. Aiazzi B., Baronti S., Santurri L., Selva M., Alparone L. : Information-theoretic assessment of multidimensional signals. Signal Processing 85, 5 2005 903 916.
2. Anderson J. C., Gosink L., Duchaineau M. A., Joy K. I. : Feature identification and extraction in function fields. In Proc. of EuroVis (May 2007).
3. Ahalt S. C., Krishnamurthy A. K., Chen P., Melton D. E. : Competitive learning algorithms for vector quantization. Neural Networks 3, 3 1990 277 290.
4. Aurenhammer F. : Voronoi diagrams - survey of a fundamental geometric data structure. ACM Computing Surveys 23, 3 1991 345 405.
5. Banks D. C., Linton S. : Counting cases in Marching Cubes: Toward a generic algorithm for producing substitopes. In Proc. of IEEE Visualization (Oct 2003 pp. 51 58.
6. Brodlie K., Wood J. : Recent advances in volume visualization. Computer Graphics Forum 20, 2 2001 125 148.
7. Cox T. F., Cox M. A. A. : Multidimensional Scaling, second ed. Chapman & Hall/CRC, Sept.
8. Chang C.-I. : An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspec-tral image analysis. IEEE Trans. on Information Theory 46, 5 2000 1927 1932.
9. Ehlschlaeger C. R., Shortridge A. M., Good-Child M. F. : Visualizing spatial data uncertainty using animation. Computational Geosciences 23, 4 1997 387 395.
10. Fang Z., Möller T., Hamarneh G., Celler A. : Visualization and exploration of time-varying medical image data sets. In Proc. of Graphics Interface (2007 pp. 281 288.
11. Hibbard W. L., Anderson J., Foster I., Paul B. E., Jacob R., Schafer C., Tyree M. K. : Exploring coupled atmosphere-ocean models using Vis5D. International J. of Supercomputer Applications and High Performance Computing 10, 2/3 (Summer/Fall 1996 211 222.
12. Hege H.-C., Seebass M., Stalling D., Zöckler M. : A generalized Marching Cubes algorithm based on non-binary classifications. ZIB Preprint SC-97-05, 1997.
13. Jacobson N., Gupta M. : Design goals and solutions for display of hyperspectral images. In IEEE Image Processing (Sept. 2005 vol. 2, pp. 622 625.
14. Ju T., Losasso F., Schaefer S., Warren J. : Dual contouring of Hermite data. ACM Trans. on Graphics 21, 3 2002 339 346.
15. Jain A. K., Murty M. N., Flynn P. J. : Data clustering: a review. ACM Comput. Surv. 31, 3 1999 264 323.
16. Jolliffe I. T. : Principal Component Analysis, second ed. Springer, Oct. 2002.
17. Kniss J., Kindlmann G., Hansen C. : Multidimensional Transfer Functions for Volume Rendering. Elsevier, 2005, ch. 9, pp. 189 210.
18. Kao D., Kramer M., Love A., Dungan J., Pang A. : Visualizing distributions from multi-return lidar data to understand forest structure. Cartographic Journal, Special Issue on GeoVisualization 42, 1 (June 2005 1 14.
19. Kao D., Luo A., Dungan J. L., Pang A. : Visualizing spatially varying distribution data. Proc. of Information Visualization (2002 219 226.
20. Lorensen W. E., Cline H. E. : Marching Cubes: A high resolution 3D surface construction algorithm. In Proc. of SIGGRAPH (1987 pp. 163 169.
21. Levoy M. : Display of surfaces from volume data. IEEE Computer Graphics and Applications 08, 3 1988 29 37.
22. Luo A., Kao D., Dungan J., Pang A. : Visualizing spatial distribution data sets. In Proc. of the Symposium on Data Visualisation (2003 pp. 29 38.
23. Lundstrom C., Ljung P., Ynnerman A. : Local histograms for design of transfer functions in direct volume rendering. IEEE Trans. on Visualization and Computer Graphics 12, 6 2006 1570 1579.
24. MacQueen J. : Some methods for classification and analysis of multivariate observations. pp. 281 297.
25. Nielson G. M., Dan R. Olsen J. : Direct manipulation techniques for 3D objects using 2D locator devices. In Proc. of the Workshop on Interactive 3D Graphics (1987 pp. 175 182.
26. Nielson G. M., Franke R. : Computing the separating surface for segmented data. In Proc. of IEEE Visualization (Oct 1997 pp. 229 233.
27. Pinho R., de Oliveira M. C. F., Minghim R., Andrade M. G. : Voromap: A Voronoi-based tool for visual exploration of multi-dimensional data. In Proc. of Information Visualization (2006 pp. 39 44.
28. Rubner Y., Tomasi C., Guibas L. J. : A metric for distributions with applications to image databases. In Proc. of the International Conference on Computer Vision (1998 pp. 59 66.
29. Settle J., Drake N. : Linear mixing and the estimation of ground cover proportions. International J. of Remote Sensing 14, 6 1993 1159 1177.
30. Sotoca J. M., Pla F., Snchez J. S. : Band selection in multispectral images by minimization of dependent information. IEEE Trans. Systems, Man and Cybernetics 37, 2 (Mar. 2007 258 267.
31. Stockinger K., Shalf J., Wu K., Bethel E. W. : Query-driven visualization of large data sets. In Proc. of IEEE Visualization (Oct 2005 pp. 167 174.
32. Tyo J. S., Konsolakis A., Diersen D. I., Olsen R. C. : Principal-components-based display strategy for spectral imagery. IEEE Trans. on Geoscience and Remote Sensing 41, 3 (Mar. 2003 708 718.
33. Vane G., Green R., Chrien T., Enmark H., Hansen E., Porter W. : The airborne visible infrared imaging spectrometer. In Remote Sensing Environment (1993 vol. 44, pp. 127 143.
34. Wu Z., John M. Sullivan J. : Mutliple material Marching Cubes algorithm. International J. for Numerical Methods in Engineering 58, 2 (July 2003 189 207.
35. Wyszecki G., Stiles W. S. : Color Science: Concepts and Methods, Quantitative Data and Formulae, second ed. Wiley, 2000.