With our expertise, we are currently contributing to a number of research projects. While fundamental research is supported by public funding agencies, applied research is funded by industry. Our current projects are listed here, completed projects can be found at the end of this page.
Chair of Visual Computing
EVOCATION - Advanced Visual and Geometric Computing for 3D Capture, Display and Fabrication
2019-, Consortium Participants: University of Rostock [UNIRO] (Coordinator), Center for Advanced Studies, Research and Development in Sardinia [CRS4], University of Zürich [UZH], Consiglio Nazionale delle Ricerche [CNR], Holografika [HOLO] , TU Wien [TUW], Fraunhofer IGD [FHG-IGD], Gexcel [GEXCEL]
EVOCATION is a leading European-wide doctoral Collegium for research in Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication. The Collegium will train the next generation of creative, entrepreneurial and innovative experts who will be equipped with the necessary skills and competences to face current and future major challenges in scalable and high-fidelity shape and appearance acquisition, extraction of structure and semantic information, processing, visualization, 3D display and 3D fabrication in professional and consumer applications.
Chair of Computer Graphics
UniVA - A Unified Interface for Visual Analytics
2018-2020, DFG Project, in cooperation with Prof. B. Urban, Fraunhofer IGD Rostock
Existing Visual Analytics (VA) tools are often special-purpose solutions that are tailored to a particular analysis scenario. Generic VA frameworks are rare, as they are complex to maintain and use. And eventually these frameworks are still lacking as it is impossible to foresee and meet any conceivable data analysis need. Hence, the idea of this project is to combine and coordinate existing VA tools, rather than developing a new “super-application”. For this purpose, we will provide a unified user interface that allows access to data and functionality of multiple VA tools to be used within a given workflow. The Computer Graphics workgroup will address this objective on the visual interface level by investigating view ensembles - i.e., the arrangement and interactive linking of visual output generated by different VA tools.
GEMS 2.0 - Visual Editing and Comparison of Multivariate Graphs Using Multiple Interactive Displays
2017-2020, DFG Project (Continuation of GEMS), in cooperation with Prof. R. Dachselt, TU Dresden
Multivariate Graphs are used in different application areas, for example for biological and social networks. This kind of graph associates data attributes with nodes and edges. Understanding such graphs comprehensively is a significant challenge for the people working with them. GEMS 2.0 focuses on developing new concepts, methods and tools for comparing and editing multiple multivariate graphs with novel multimodal interactions in multi-display environments. The main emphasis’ of the Rostock workgroup are: (1) Investigation of new visual representations to communicate the characteristics of the graphs structure and the associated data attributes. (2) Research of new concepts to edit nodes, edges and data attributes as well as a visual communication of the changes. (3) User support for the comparison and editing of multiple graphs.
TOPOs: Therapy prediction through OCT and und patients demographic data in the field of ophthalmology
2017-2020, BMBF project, in coop. with Prof. Ritter, (University of applied Science Mittweida), Prof. Dr. Stahl (Medical Center – University of Freiburg), Dr. med. Philipp Daumke (AVERBIS GmbH)
Optical Coherence Tomography (OCT) has been a suitable diagnostic tool for ophthalmologists since many years. Pictures, taken from the latter part of the eye, the retina, and vertical depth scans of the macula allow reliable diagnostics of a variety of eye diseases as for example age-related macular degeneration, retinal vein occlusion or diabetic retinopathy. Up to today there are successful therapy methods, first of all the injection of anti - vascular endothelial growth factor (anti-VEGF) drugs. Nevertheless it seems not possible to this date, to reliably predict the correct amount of injections necessary as well as the time needed until the injection rate can be decreased or halted. In order to find remedy for this issue, this project unites experts of ophthalmology and visual analytics. The goal is, to explore the heterogenic multidimensional data of the OCT examinations in combination with the patients historical and personal characteristics. In adjunction with a specialized visualization tool for ophthalmologists, the possible causes and/or influencing factors for the therapy of retinal diseases are expected to crystalize from the data.
VisSect: Visual Segmentation and Labeling of Multivariate Time Series
2016-2020, DFG project, in coop. with TU Darmstadt and TU Wien
Segmentation and labeling of multivariate time series is a highly relevant task in many domains, for instance, in the analysis of human motion data or electrocardiograph data. The goal in such analyses is to find meaningful segments in time series and compare them with similar segments. This research project aims to develop new approaches for visually and interactively analyzing multivariate time series in order to support the generation of hypotheses and the drawing of conclusions. In this regard, the overarching objective is the combination of three relevant steps in this process: (1) algorithm selection for segmentation and labeling, (2) parametrization, and (3) visualization and exploration of uncertainties about the results.