During the acquisition of models of objects which are to be transferred from the real world to virtual reality, it is necessary to process large unstructured data sets which have to be organized in a specific form suitable for further processing. This includes the development of efficient algorithms for the creation and maintenance of both surface and point models and their modifications into a form that allows solving fundamental issues of modeling, visualization, collision detection and many others in real time. Another important field with direct connection to virtual reality is the visualization. Visualization relates to the key concepts of data semantics, content interpretation and extracting new information from the data. The connection between visualization and virtual reality offers a possibility of interactive exploration of visualized data and gaining new knowledge in a particular field of interest.
Key methods and concepts used in computer graphics and virtual reality are continuously being implemented in specialized hardware and influence the design of new architectures. Concurrently, methods with high degree of parallelism are being developed.
Main research priorities
- Theoretical research of algorithms in the field of collision detection techniques and visualization of large scenes. With the utilization of computational geometry principles, efficient methods are developed, together with efficient data structures which allow real-time visualization and collision detection.
- Analysis and visualization of protein structures based on computational geometry and computer graphics. A new system for computation of channels connecting an active site in a protein molecule with molecular surface is developed in cooperation with National Centre for Biomolecular Research (Masaryk University).
- Algorithms for haptic interaction. In cooperation with the Faculty of Applied Sciences (University of West Bohemia, Pilsen), algorithms for triangular meshes are developed. The algorithms are verified and tested in haptic and virtual reality applications.
- Interaction techniques in virtual environment. The research is focused on multimodal interaction methods which allow effective use of applications in the virtual environment. A system called VRECKO, which supports a large number of input and output devices in the Human Computer Interaction laboratory, is being developed. This system allows prototyping of novel interaction methods.
- Motion capture and tracking. We test optic systems for motion capture and tracking of a user and objects in space. The research is also focused on the connection of the system to developed applications.