Friedhelm Hamann is a doctoral researcher with SCIoI and a member of the Robotic Interactive Perception group. He is interested in advancing algorithms for visual sensor data to extract high-level information and improve the perception system of artificial agents. His research (Project 36) focuses on the use of event cameras, which are inspired by the human visual system. At SCIoI, he aims to integrate computer vision algorithms into robotic systems to develop tools for the behavioral analysis of animals. Friedhelm received his B.Sc. in Electrical Engineering from University of Rostock in 2019 and completed his M.Sc. in Electrical Engineering and Information Technology at RWTH Aachen University in 2021.
SCIoI Publications:
Shiba, S., Hamann, F., Aoki, Y., & Gallego, G. (2023). Event-based Background-Oriented Schlieren. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–16. https://doi.org/10.1109/TPAMI.2023.3328188
Hamann, F., Ghosh, S., Martínez, I. J., Hart, T., Kacelnik, A., & Gallego, G. (2023). Low-power, Continuous Remote Behavioral Localization with Event Cameras. arXiv. https://doi.org/10.48550/arXiv.2312.03799
Hamann, F., & Gallego, G. (2022). Stereo Co-capture System for Recording and Tracking Fish with Frame- and Event Cameras. International Conference on Pattern Recognition (ICPR), Workshop on Visual observation and analysis of Vertebrate And Insect Behavior. https://arxiv.org/abs/2207.07332