Overview
Welcome to the Pattern Recognition Lab!
Researchers and students at Pattern Recognition Lab (LME) work on the development and implementation of algorithms to classify and analyze patterns like images or speech. The research is mostly interdisciplinary and is focussed on medical- and health engineering. The LME has close national and international collaborations with other universities, research institutes and industrial partners.
Research Areas
Gabriel Herl, a former PhD student of the Pattern Recognition Lab, has been appointed as a Junior Professor at the Deggendorf Institute of Technology starting in March 2023. Gabriel Herl completed his PhD in 2022 with a thesis on Multipositional CT. His current research focus is on robotic CT s...
Sheethal Bhat received her B.Sc degree in Electronics and Electrical engineering in 2004 from SJCE university, Mysore, India. After working two years as a software developer in IBM, India, she completed her first M.Sc in Electrical and Computer engineering in 2008, from Carnegie Mellon Universi...
The program committee of the Conference on Computer Vision and Pattern Recognition (CVPR) 2023 has selected, "PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation", as a highlight at the event. CVPR is one of the world's largest computer vision and pattern recognition co...
Unfortunately, we must postpone Prof. Birkholz's talk due to unforeseen circumstances.We will provide updates as soon as possible regarding a rescheduled date and time for the talk.
Thank you for your understanding.
https://lme.tf.fau.de/news/invited-talk-prof-dr-peter-birkholz-tu-dresden-re...
Nastassia Vysotskaya received her B.Sc. degree in Computational Engineering in 2020 and her M.Sc. degree in Computer Science in 2022, both from the Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Germany. After working on radar digital beamforming optimizations at the Department of Com...
