Visualization Group
Research Projects
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Visual Computing: Illustrative Visualization Ivan Viola — - The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. |
Research Areas
| Research Area | |
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Visualization in The Material Sciences This research is directed towards visual parameter space analysis, 4D analysis of time varying XCT data, visual analytics of segmentation ensembles, comparative visualization of volume ensembles as well as parameter space analysis of segmentation pipelines. |
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Perception in Visualization In this area, our research focuses on understanding and using the capabilities of human perception for better comprehension of displayed data. |
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Medical Visualization This research area bridges the gap between visualization and medicine by providing comprehensible visual means to detect diseased regions or to aid clinical treatment decisions. |
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Illustrative Visualization In this research area, we develop rendering methods that are inspired by scientific illustrations, in order to make complex biological information more intuitive to understand and more pleasant to read. |
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Information Visualization and Visual Analytics In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. |
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Biological Data Visualization In this research area, we develop new visualization techniques to support biologists in data analysis and create visualizations to disseminate scientific discoveries in biology. |
