Illustrative visualization takes inspiration from the long tradition of traditional illustration, in which illustrators have developed numerous excellent techniques to convey complex scientific principles, techniques, data, etc. As such it not only draws from traditional computer graphics but also from non-photorealistic rendering and uses principles like abstaction and emphasis to create visualizations of real datasets. It such has the potential to provide illustration-like visualizations where it would be unfeasible to hire a professional illustrator as well as attempts to create interactively explorable illustration-like visualizations.
illustrative visualization, abstraction, emphasis.
Researchers involved or interested
A few references
- Ivan Viola, Min Chen, and Tobias Isenberg Visual Abstraction. Springer, 2020. (open access version)
- Sarkis Halladjian, Haichao Miao, David Kouřil, M. Eduard Gröller, Ivan Viola, and Tobias Isenberg. ScaleTrotter: Illustrative Visual Travels Across Negative Scales. IEEE Transactions on Visualization and Computer Graphics 26(1):654–664, 2020. (open access version)
- David Kouřil, Ladislav Čmolík, Barbora Kozlikova, Hsiang-Yun Wu, Graham Johnson, David Goodsell, Arthur Olson, Meister Eduard Gröller, Ivan Viola. Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments. IEEE Transactions on Visualization and Computer Graphics, 25(1):977–986. (open access version)
- Haichao Miao, Elisa De Llano, Tobias Isenberg, M. Eduard Gröller, Ivan Barišić, and Ivan Viola. DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures. Computer Graphics Forum, 37(3):403–413. (open access version)
- Sarkis Halladjian, David Kouřil, Haichao Miao, M. Eduard Gröller, Ivan Viola, and Tobias Isenberg (2022) Multiscale Unfolding: Illustratively Visualizing the Whole Genome at a Glance. IEEE Transactions on Visualization and Computer Graphics, 2022.
- David Kouřil, Ondřej Strnad, Peter Mindek, Sarkis Halladjian, Tobias Isenberg, M. Eduard Gröller, and Ivan Viola (2022) Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization. IEEE Transactions on Visualization and Computer Graphics, 2022.
- Jiayi Hong, Alain Trubuil, and Tobias Isenberg (2022) LineageD: An Interactive Visual System for Plant Cell Lineage Assignments based on Correctable Machine Learning. Computer Graphics Forum, 41(3):195–207, June 2022.
- Yucheng Lu, Luyu Cheng, Tobias Isenberg, Chi-Wing Fu, Guoning Chen, Hui Liu, Oliver Deussen, and Yunhai Wang (2021) Curve Complexity Heuristic KD-trees for Neighborhood-based Exploration of 3D Curves. Computer Graphics Forum, 40(2):461–474, May 2021.