Cornelia Fermüller’s research is in the areas of Computer Vision, Robotics, and Human Vision, focusing on biological-inspired solutions for active vision systems.
She is an Associate Research Scientist at the Center for Automation Research at the Institute for Advanced Computer Studies at UMD. She co-founded the Autonomy Cognition and Robotics (ARC) Lab and co-leads the Perception and Robotics Group at UMD. She is also the PI of an NSF sponsored Science of Learning Center Network for Neuromporphic Engineering and co-organizes the Neuromorphic Engineering and Cognition Workshop. Cornelia Fermüller is an associate research scientist at the Computer Vision Laboratory.
PhDTechnical University of Vienna, Austria, Computer Vision
MSUniversity of Technology, Graz, Austria, Applied Mathematics
Cornelia Fermüller’s research is in the areas of Computer Vision, Robotics, and Human Vision, focusing on biological-inspired solutions for active vision systems. She has studied multiple view geometry and statistics, and her work includes view-invariant texture descriptors, 3D motion and shape estimation, image segmentation, action recognition, and computational explanations and predictions of optical illusions. Her recent work focuses on the integration of perception, action and high-level reasoning to develop cognitive robots that can understand and learn human manipulation actions, and developing motion capabilities with input from bio-inspired visual motion sensors.