Harnessing natural textures for multivariate visualization

IEEE Computer Graphics and Applications

Volumn 20, Issue 6, 2000, Pages 6-11

  Interrante, Victoria ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLIENT SERVER COMPUTER SYSTEMS; COMPUTATIONAL METHODS; COMPUTER AIDED DESIGN; DATA COMMUNICATION SYSTEMS; IMAGE ANALYSIS; IMAGE QUALITY; SCHEDULING; TWO DIMENSIONAL; VIRTUAL REALITY; VISUALIZATION;

MULTIVARIATE VISUALIZATION; PRIORITY ROUND ROBIN; VISUAL TEXTURE PERCEPTION;

COMPUTER GRAPHICS;

EID: 0034321503     PISSN: 02721716     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCG.2000.888001     Document Type: Article

References (28)

1. C.G. Healey and J.T. Enns, "Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization," IEEE Trans. Visualization and Computer Graphics, Vol. 5, No. 2, 1999, pp. 145-167.
2. D.H. Laidlaw et al., "Visualizing Diffusion Tensor Images of the Mouse Spinal Cord," Proc. IEEE Visualization 98, ACM Press, New York, 1998, pp. 127-134.
3. C. Ware and W. Knight, "Using Visual Texture for Information Display," ACM Trans. Graphics, Vol. 14, No. 1, 1995, pp. 3-20.
4. P. Brodatz, Textures: A Photographic Album for Artists and Designers, Dover Publications, New York, 1966.
5. E.R. Tufte, The Visual Display of Quantitative Information, Graphics Press, Cheshire, Conn., 1983, p. 111.
6. A.R. Rao and G.L. Lohse, "Identifying High Level Features of Texture Perception," CVGIP: Graphical Models and Image Processing, Vol. 55, No. 3, 1993, pp. 218-233.
7. J.S. Payne, L. Hepplewhite, and T.J. Stonham, Texture Similarity: Using Human Studies to Interpret Retrieval Results, Tech. Report TR-685, Dept. Electronic and Computer Engineering, Brunel University, UK, 1997.
8. Y. Rubner and C. Tomasi, "Texture Metrics," Proc. IEEE Int'l Conf. Systems, Man, and Cybernetics, IEEE Press, Piscataway, N.J., 1998, pp. 4601-4607.
9. H-C. Nothdurft "Salience from Feature Contrast: Additivity Across Dimensions," Vision Research, Vol. 40, 2000, pp. 1183-1201.
10. C.G. Healey, "Choosing Effective Colors for Data Visualization," Proc. IEEE Visualization 96, ACM Press, New York, 1996, pp. 263-270.
11. J. Portilla and E.P. Simoncelli, "A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients," Int'l J. of Computer Vision, 2000, to appear; currently available on the Web at http://www .cns.nyu.edu/ftp/eero/portilla99 .pdf.
12. S.-C. Zhu et al., "Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo - Toward a 'Trichromacy' Theory of Texture," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 6, 2000, pp. 554-569.
13. A.A. Efros and T.K. Leung, "Texture Synthesis by Nonparametric Sampling," IEEE Int'l Conf. Computer Vision, Volume II, IEEE Press, Piscataway, N.J., 1999, pp. 1033-1038.
14. 1992 Agricultural Atlas of the United States, U.S. Census Bureau Geography Div. Map Gallery, http:// www.census.gov/geo/www/map-Gallery.
15. C.G. Healey and J.T. Enns, "Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization," IEEE Trans. Visualization and Computer Graphics, Vol. 5, No. 2, 1999, pp. 145-167.
16. D.H. Laidlaw et al., "Visualizing Diffusion Tensor Images of the Mouse Spinal Cord," Proc. IEEE Visualization 98, ACM Press, New York, 1998, pp. 127-134.
17. C. Ware and W. Knight, "Using Visual Texture for Information Display," ACM Trans. Graphics, Vol. 14, No. 1, 1995, pp. 3-20.
18. P. Brodatz, Textures: A Photographic Album for Artists and Designers, Dover Publications, New York, 1966.
19. E.R. Tufte, The Visual Display of Quantitative Information, Graphics Press, Cheshire, Conn., 1983, p. 111.
20. A.R. Rao and G.L. Lohse, "Identifying High Level Features of Texture Perception," CVGIP: Graphical Models and Image Processing, Vol. 55, No. 3, 1993, pp. 218-233.
21. J.S. Payne, L. Hepplewhite, and T.J. Stonham, Texture Similarity: Using Human Studies to Interpret Retrieval Results, Tech. Report TR-685, Dept. Electronic and Computer Engineering, Brunel University, UK, 1997.
22. Y. Rubner and C. Tomasi, "Texture Metrics," Proc. IEEE Int'l Conf. Systems, Man, and Cybernetics, IEEE Press, Piscataway, N.J., 1998, pp. 4601-4607.
23. H-C. Nothdurft "Salience from Feature Contrast: Additivity Across Dimensions," Vision Research, Vol. 40, 2000, pp. 1183-1201.
24. C.G. Healey, "Choosing Effective Colors for Data Visualization," Proc. IEEE Visualization 96, ACM Press, New York, 1996, pp. 263-270.
25. J. Portilla and E.P. Simoncelli, "A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients," Int'l J. of Computer Vision, 2000, to appear; currently available on the Web at http://www .cns.nyu.edu/ftp/eero/portilla99 .pdf.
26. S.-C. Zhu et al., "Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo - Toward a 'Trichromacy' Theory of Texture," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 6, 2000, pp. 554-569.
27. A.A. Efros and T.K. Leung, "Texture Synthesis by Nonparametric Sampling," IEEE Int'l Conf. Computer Vision, Volume II, IEEE Press, Piscataway, N.J., 1999, pp. 1033-1038.
28. 1992 Agricultural Atlas of the United States, U.S. Census Bureau Geography Div. Map Gallery, http:// www.census.gov/geo/www/map-Gallery.