The visual display of quantitative information
The visual display of quantitative information
Envisioning information
A tool for dynamic explorations of color mappings
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
Choosing effective colours for data visualization
Proceedings of the 7th conference on Visualization '96
Hamiltonicity and colorings of arrangement graphs
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Drawing graphs: methods and models
Drawing graphs: methods and models
Automatic data and computation decomposition on distributed memory parallel computers
ACM Transactions on Programming Languages and Systems (TOPLAS)
Empirical evaluation of dissimilarity measures for color and texture
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Color Sequences for Univariate Maps: Theory, Experiments and Principles
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Graph Drawing Software
Testing bipartiteness of geometric intersection graphs
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Distributed parallel computing using navigational programming
International Journal of Parallel Programming
On maximum differential graph coloring
GD'10 Proceedings of the 18th international conference on Graph drawing
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Graph drawing research traditionally focuses on producing geometric embeddings of graphs satisfying various aesthetic constraints. After the geometric embedding is specified, there is an additional step that is often overlooked or ignored: assigning display colors to the graph's vertices. We study the additional aesthetic criterion of assigning distinct colors to vertices of a geometric graph so that the colors assigned to adjacent vertices are as different from one another as possible. We formulate this as a problem involving perceptual metrics in color space and we develop algorithms for solving this problem by embedding the graph in color space. We also present an application of this work to a distributed load-balancing visualization problem.