Research

Image-synthesis technologies and methods create virtual representations of information, i.e., by generating images. We create virtual worlds for diverse scenarios. Our efficient, flexible processes keep pace with current trends: e.g., shared usage of resources, real-time capabilities, and mobility.

The visual representation of real, physical objects forms the basis for advanced automation and engineering processes. A variety of sensors ensure high reliability for augmented reality, material acquisition, and 3D reconstruction. Our technologies capture, track, and reproduce objects, their position, and their texture at high speed and with high fidelity.

By leveraging algorithms to identify patterns and correlations, machine-learning models are able to intelligently process data and draw conclusions. On this basis, we perform image-based quality control and implement automated data analytics for production chains. In addition, we harness machine learning for medical applications, including diagnostics, as well as for AR/VR technologies and counting fish stocks.

We develop technologies that enable humans and machines to collaborate
effectively on the basis of ever-growing data volumes. New interaction modalities, intelligent environments, and visualization methods enhance human-computer interaction in complex, data-intensive applications where robust security is critical.

Computer graphics supports and accelerates simulation, i.e., the virtual replication of the behavior of physical objects and phenomena. We develop simulation processes that feature integrated modeling and visualization to speed up design work and enable users to directly interact with and modify the simulation.

Models provide an abstract view of selected aspects of reality within an information processing system. We research 2D and 3D, as well as more complex, higher-dimension models for use in real-world scenarios. Supplementary information is added to make models suitable for new applications and connected solutions.