Research Mission

Establishing the paradigm of quantitative science in visual computing will be a long-term endeavor requiring a fundamental research effort broadly covering four research areas: quantitative models and measures, adaptive algorithms, interaction, and applications. With this long-term perspective, we see several directions in which the proposed Collaborative Research Center will provide conceptual and tangible contributions, including conceptual metrics and models for quantification, new techniques and algorithms for visual computing, respective software, benchmark data that can be used for quantitative evaluation, and improved evaluation methodology.

The research program is structured in four project groups according to the above four research areas. Three task forces facilitate joint research on themes that are “orthogonal” to the project groups and involve the overall goals of the proposed Collaborative Research Center: the quantification of quality within visual computing; generative data models as the basis for many tests and benchmarks; and user-oriented testing methodologies, which provide the basis for many user studies required by projects from all project groups for evaluation and user-oriented data collection.

"With the SFB-TRR 161, we plan to establish quantification as a key ingredient of visual computing research.
We see quantification as a cornerstone to further advance visual computing as an established and maturing research field." / Prof. Daniel Weiskopf, Speaker of the SFB-TRR 161

Structure of the Program

The SFB-TRR 161 is a collaborative, interdisciplinary and research projects that connects 17 project teams of the University of Stuttgart, University of Konstanz and the Max-Planck Institute for Biological Cybernetics, that are working in four Project Areas, three Task Forces in the field of Visual Computing.

Funded Projects