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Visualization of uncertain scalar data fields using color scales and perceptually adapted noise
2011
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization - APGV '11
We present a new method to visualize uncertain scalar data fields by combining color scale visualization techniques with animated, perceptually adapted Perlin noise. The parameters of the Perlin noise are controlled by the uncertainty information to produce animated patterns showing local data value and quality. In order to precisely control the perception of the noise patterns, we perform a psychophysical evaluation of contrast sensitivity thresholds for a set of Perlin noise stimuli. We
doi:10.1145/2077451.2077462
dblp:conf/apgv/ConinxBDT11
fatcat:holtikhoy5earmj55cqrxdpfni