Perceptually Optimized Color Maps for Visualizing Large Numbers of Features
Citation:
Subhrajyoti, M., Dingliana, J. Perceptually Optimized Color Maps for Visualizing Large Numbers of Features, Second International Conference on Advanced Computational and Communication Paradigms, Sikkim Manipal Institute of Technology, Sikkim, India, IEEE, 2019, February 25 - 28Download Item:
Abstract:
We propose an approach, called the Equilibrium Distribution Model (EDM), for automatically selecting colors with optimum perceptual contrast for scientific visualization. Given any number of features that need to be emphasized in a visualization task, our approach derives evenly distributed points in the CIELAB color space to assign colors to the features so that the minimum Euclidean Distance among the colors are optimized. Our approach can assign colors with high perceptual contrast even for very high numbers of features, where other color selection methods typically fail. We compare our approach with the widely used Harmonic color selection scheme and demonstrate that while the harmonic scheme can achieve reasonable color contrast for visualizing up to 20 different features, our Equilibrium scheme provides significantly better contrast and achieves perceptible contrast for visualizing even up to 100 unique features.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/IA/1895
Author's Homepage:
http://people.tcd.ie/dinglijl
Author: Dingliana, John
Sponsor:
Science Foundation Ireland (SFI)Other Titles:
Second International Conference on Advanced Computational and Communication ParadigmsPublisher:
IEEEType of material:
Conference PaperCollections
Availability:
Full text availableKeywords:
Color, Visualization, Visualization techniques, Human-centered computing, Visualization, Visualization design and evaluation methodsSubject (TCD):
Creative Technologies , VISUALIZATIONMetadata
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