Objectivity is a concept from continuum mechanics, demanding invariance of a measure under continuous changes of the reference frame (coordinate system). A measure should be independent of the observer, different observers moving in different frames should come to the same conclusion about an objective measure.
While objectivity appears a rather natural condition for a useful measure, it creates problems for the analysis of flows because velocity fields are not objective. This has triggered quite some research in recent years in both computational fluid dynamics and flow visualization to come up with objective flow measures and resulting objective flow visualization techniques.
With give an overview about existing objective flow measures. In particular we focus on generic measures, i.e., approaches to transform any flow measure into an objective one. We describe recent approaches to objectivize general flow measures and resolve a dispute about the objectivity and other desired properties of our approaches.
Holger Theisel is professor for Visual Computing at Magdeburg University (Germany). He received his Ph.D. (1996) and habilitation (2001) degrees from the University of Rostock (Germany), and had research stays at Arizona State University (USA), ICIMAF Havana (Cuba), MPI Informatik Saarbrücken (Germany), and Bielefeld University (Germany).
His research interests focus on scientific visualization as well as on geometric design, geometry processing and information visualization and Visual Analytics. He co-authored more than 70 papers in the top journals in the field. He served the community in several ways, among them as General Chair of the IEEE VIS 2018 conference in Berlin, and VIS Executive Committee Co-Chair 2021-2023.
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Host: Gröller, Eduard
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