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Issue No.02 - March/April (2008 vol.28)
pp: 6-11
Colin Ware , University of New Hampshire
Perceptual theory has much to tell us about effective flow visualization. Since visualization is a practical tool, a meaningful theory must be constructive–not just descriptive–leading to better data representations. The author contend that such a useful body of theory exists and though it might be incomplete it still can be useful. Major gaps in the theory provide promising avenues for future research in a multidisciplinary program that can benefit both the human perception field and the applied science of data visualization.
flow visualization, theory, visual patterns
Colin Ware, "Toward a Perceptual Theory of Flow Visualization", IEEE Computer Graphics and Applications, vol.28, no. 2, pp. 6-11, March/April 2008, doi:10.1109/MCG.2008.39
1. C. Ware, Visual Thinking for Design, Morgan Kaufman, 2008.
2. Z. Li, "A Neural Model of Contour Integration in the Primary Visual Cortex," Neural Computation, vol. 10, no. 4, 1998, pp. 903–940.
3. G. Turk and D. Banks, "Image Guided Streamline Placement," Proc. 23rd Conf. Computer Graphics and Interactive Techniques (ACM Siggraph), ACM Press, 1996, pp. 453–460.
4. B. Jobard and W. Lefer, "Creating Evenly Spaced Streamlines of Arbitrary Density," Proc. 8th Eurographics Workshop Visualization in Scientific Computing, Eurographics Press, 1997, pp. 43–56.
5. B. Cabral and C. Leedon, "Imaging Vector Fields Using Line Integral Convolution," Proc. 20th Ann. Conf. Computer Graphics and Interactive Techniques (ACM Siggraph), ACM Press, 1993, pp. 262–267.
6. D.H. Hubel and T.N. Wiesel, "Receptive Fields and Functional Architecture of Monkey Striate Cortex," J. Physiology, The Physiological Society, vol. 195, no. 1, 1968, pp. 215–243.
7. D.J. Field, A. Hayes, and R.F. Hess, "Contour Integration by the Human Visual System: Evidence for a Local 'Association Field,'" Vision Research, Pergamon Press, vol. 33, no. 2, 1993, pp. 173–193.
8. D.H. Laidlaw et al., "Quantitative Evaluation of 2D Vector Field Visualization Methods," Proc. IEEE Visualization, IEEE CS Press, 2001, pp. 143–150.
9. W. Bair et al., "The Timing of Response Onset and Offset in Macaque Visual Neurons," J. Neuroscience, Society of Neuroscience, vol. 22, no. 8, 2002, pp. 8334–8345.
10. B. Heider, V. Meskanaite, and E. Peterhaus, "Anatomy and Physiology of a Neural Mechanism Defining Depth Order and Contrast Polarity at Illusory Contours," European J. Neuroscience, Blackwell Publishing, vol. 12, no. 11, 2000, pp. 4117–4130.
11. D. Fowler and C. Ware, "Strokes for Representing Univariate Vector Field Maps," Proc. Graphics Interface (GI 89), 1989, pp. 249–253.
12. C. Blakemore and F.W. Campbell, "On the Existence of Neurons in the Human Visual System Selectively Sensitive to the Orientation and Size of Retinal Images," J. Physiology, Blackwell Publishing, vol. 203, 1969, pp. 237–260.
13. T. Urness et al., "Strategies for the Visualization of Multiple 2D Vector Fields," IEEE Computer Graphics and Applications, vol. 26, no. 4, 2006, pp. 74–82.
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