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.
Today a BR film crew came to the lab and shot a feature for the "Abendschau" about our work on handwriting imitation . We demonstrated in detail how one's handwriting can automatically be synthesized.
It was broadcast on BR Fernsehen Thursday 9th of July in the "Abendschau" and can now be watche...
It's a great pleasure to announce that our Lecture Notes in Deep Learning created a lot of positive feedback. They are to large degrees automatically generated. Yet, we just got the news that a new column "FAU Lecture Notes" was established in Towards Data Science, a Medium publication with more th...
BaCaTeC will fund a joint project between Jokerst Bioimaging Lab at UCSD and PRL with 9.000 EUR. In the collaboration, we want to develop an algorithm to automatically detect wounds from non-invasive ultrasound and photoacoustic images.
Multi-modal (Audio, Text, Visual) Emotion Recognition
Grant Awardee: Ronak Kosti
Grant Duration: July-2020 to June-2021
We recognize people's emotions from their facial expressions, body posture, behavior and social interaction with other people. It is an essential ability wh...
Written by Prathmesh Madhu
This work exploits style transfer in combination with transfer learning to recognize characters in art historical images. Our approach focuses on recognizing two central characters in the "Annunciation of the Lord" scene from Art history, Mary and Gabri...