Our research group is working on a range of topics in Computer Vision and Image Processing, many of which are using Artifical Intelligence. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including statistical inference, differential geometry, continuous (partial differential equations) and discrete (graph-theoretic) optimization techniques.

We are currently actively working on the following research topics:

Inquiries for Bachelor and Master projects are always welcome.

We have also done research in many other fields. If you are interested in any of these, do not hesitate to contact us - we are always happy to get back to those topics and do exciting research there!

• Image-based 3D Reconstruction
• Optical Flow Estimation
• Shape Analysis
• Robot Vision
• RGB-D Vision
• Image Segmentation
• Convex Relaxation Methods
• Scene Flow Estimation
• Shape Priors
• Marker-less Motion Capture
• 3D Reconstruction from a Single Image