Nicholas Waldin, Manuela Waldner
, Mathieu Le Muzic, Eduard Gröller, David Goodsell, Ludovic Autin, Arthur Olson, Ivan Viola
Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations
Computer Graphics Forum, 38(6):150-164, March 2019. [Open Access Article in Wiley Online Library]
Information
- Publication Type: Journal Paper (without talk)
- Workgroup(s)/Project(s):
- Date: March 2019
- DOI: 10.1111/cgf.13611
- Journal: Computer Graphics Forum
- Number: 6
- Volume: 38
- Pages: 150 – 164
- Keywords: multiscale visualization, illustrative visualization, molecular visualization
Abstract
Visualizations of hierarchical data can often be explored interactively. For example, in geographic visualization, there are continents, which can be subdivided into countries, states, counties and cities. Similarly, in models of viruses or bacteria at the highest level are the compartments, and below that are macromolecules, secondary structures (such as α‐helices), amino‐acids, and on the finest level atoms. Distinguishing between items can be assisted through the use of color at all levels. However, currently, there are no hierarchical and adaptive color mapping techniques for very large multi‐scale visualizations that can be explored interactively. We present a novel, multi‐scale, color‐mapping technique for adaptively adjusting the color scheme to the current view and scale. Color is treated as a resource and is smoothly redistributed. The distribution adjusts to the scale of the currently observed detail and maximizes the color range utilization given current viewing requirements. Thus, we ensure that the user is able to distinguish items on any level, even if the color is not constant for a particular feature. The coloring technique is demonstrated for a political map and a mesoscale structural model of HIV. The technique has been tested by users with expertise in structural biology and was overall well received.Additional Files and Images
Weblinks
BibTeX
@article{waldin-2019-ccm,
title = "Cuttlefish: Color Mapping for Dynamic Multi‐Scale
Visualizations",
author = "Nicholas Waldin and Manuela Waldner and Mathieu Le Muzic and
Eduard Gr\"{o}ller and David Goodsell and Ludovic Autin and
Arthur Olson and Ivan Viola",
year = "2019",
abstract = "Visualizations of hierarchical data can often be explored
interactively. For example, in geographic visualization,
there are continents, which can be subdivided into
countries, states, counties and cities. Similarly, in models
of viruses or bacteria at the highest level are the
compartments, and below that are macromolecules, secondary
structures (such as α‐helices), amino‐acids, and on the
finest level atoms. Distinguishing between items can be
assisted through the use of color at all levels. However,
currently, there are no hierarchical and adaptive color
mapping techniques for very large multi‐scale
visualizations that can be explored interactively. We
present a novel, multi‐scale, color‐mapping technique
for adaptively adjusting the color scheme to the current
view and scale. Color is treated as a resource and is
smoothly redistributed. The distribution adjusts to the
scale of the currently observed detail and maximizes the
color range utilization given current viewing requirements.
Thus, we ensure that the user is able to distinguish items
on any level, even if the color is not constant for a
particular feature. The coloring technique is demonstrated
for a political map and a mesoscale structural model of HIV.
The technique has been tested by users with expertise in
structural biology and was overall well received.",
month = mar,
doi = "10.1111/cgf.13611",
journal = "Computer Graphics Forum",
number = "6",
volume = "38",
pages = "150--164",
keywords = "multiscale visualization, illustrative visualization,
molecular visualization",
URL = "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/",
}