“Illustrating Uncertainty” by Wyvill and Wyvill

  • ©Geoff Wyvill and Brian Wyvill

Conference:


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    Application

Title:

    Illustrating Uncertainty

Session/Category Title:   Visualization and Image Technology


Presenter(s)/Author(s):



Abstract:


    How can we usefully represent incomplete data? To make a contour map whose color describes our confidence in the local data, this approach combines smoothing and certainty in a layered structure.

References:


    1. , R.L., (1971). Multi quadratic equations of topography and other irregular surfaces. Journal of Geophysical Research, 76 (8), 1905-1915.
    2. Perlin, K. (1985). An image synthesizer. Computer Graphics (SIGGRAPH 85 Conference Proceedings), 19 (3), 287-296.
    3. Lewis, J.P. (1989). Algorithms for solid noise synthesis. Computer Graphics (SIGGRAPH 89 Conference Proceedings), 23 (3), 263-270.
    4. Mitchell, D.P. (1987). Generating antialiased images at low sampling densities. Computer Graphics (SIGGRAPH 87 Conference Proceedings), 21 (4), 65-72.
    5. Kirk, D. & Arvo, J. (1991). Unbiased sampling techniques for image synthesis. Computer Graphics (SIGGRAPH 91 Conference Proceedings), 25 (4), 153-156.
    6. Gortler, S.J., Grzeszczuk, R., Szeliski, R., & Cohen, M.F. (1996). The lumigraph. Computer Graphics (SIGGRAPH 96 Conference Proceedings), 3-54.


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