Computer Vision Group
Our research group is working on a range of topics in Computer Vision, Machine Learning and Artificial 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.
Research and application areas include Visual SLAM, Image-based 3D Reconstruction, Shape Analysis, Deep Learning, Biomedicine, Robot Vision, RGB-D Vision, Image Segmentation, Convex Relaxation Methods.