Visual Computing
Visual computing is concerned with research on how large and heterogeneous information sets can be used for a better understanding of situations and specific research questions. This involves several steps from image acquisition, image analysis and processing, visualization and advanced visual interaction, and examining perceptual issues in that context. The resulting visual analysis and exploration provides more powerful tools to enable more insights into these information sets.
Next to the research of these methods, the special focus of the VCM research group is their application to the medical domain, specifically to computer assisted surgery. Here, the diverse set of structural (anatomical) and functional (physiological) image information is used to extract and present relevant information to the surgeon in the right circumstances, thus providing a situation-aware information assistance that connects preoperative planning with intraoperative surgical navigation (or automation) support.
When combined with statistical computing, the visual computing paradigm is extended to visual analytics, which also employs automatic analysis approaches. We apply this modified paradigm to the analysis of life science data, which is less image-based, but often even more complex than standard medical imaging data.
In the context of ICCAS, the visual computing approaches provide visual solutions to visualization and interaction issues of the other research groups.
Projects
