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Pattern Recognition Lab

Computer Science Department 5

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.

A summary of the projects at the Pattern Recognition Lab is available for download as a comprehensive brochure (PDF).

  • Research Areas
    • Medical Image Processing

      The division medical image processing investigates problem statements in Opens internal link in current windowimage registration, Opens internal link in current windowreconstruction, Opens internal link in current windowsegmentationOpens internal link in current windowX-ray phase contrast and image analysis.

      Computer Vision

      The computer vision division treats the topics of reflectance analysis, forgery detection, driver assistance and optical surface measurements.

      Speech Processing and Understanding

      Apart from automatic feature extraction and subsequent speech recognition, our Chair deals with the following topics: spoken dialogue systems, recognition and processing of out-of-vocabulary words and automatic analysis and classification of prosodic phenomena and emotional, affective user states.

      Digital Sports & Sportronics

      Digital Sports is a new emerging field within computer science. We are about to develop novel digital support systems for top athletes in close collaboration with sports industry.

    Available Theses

    Einfluss von Vorlesungsaufzeichnungen auf die Quantität der Studierenden einer Vorlesung (Bachelor Arbeit) Betreuer: Maier, Andreas; Gräve, Michael

    Recent Publications
  • LME-News

    IRLE 2016: Call for participation for students, institutions and industries

    Innovation Research Lab at Central Institute of Healthcare Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Germany, is organizing its annual exhibition on 14th July 2016. Students, institutions and industries are...[more]

    New PhD Student

    Jennifer Maier joined our team on January 1st and is now part of the Medical Image Reconstruction Group and Digital Sports Group.   She is pursuing her PhD research with the title:   Weight-Bearing Imaging of the Knee...[more]

    New Guest Associate Professor

    Associate Professor Stephan Chalup from the University of Newcastle in Australia is visiting the Pattern Recognition Lab at FAU for several weeks during the first half of 2016.   Dr. Chalup is leading the Newcastle Robotics...[more]

    IRLE 2016

    Innovation Research Lab at Central Institute of Healthcare Engineering, Friedrich-Alexander-University Erlangen-Nürnberg is organizing an exhibition where the projects worked on by the students under supervision of their...[more]

    New PhD Student

    On September 1st, AmirAbbas Davari joined the Pattern Recognition Lab.   He received his bachelor of science and master of science diplomas with honors in Electrical Engineering respectively from University of Tehran and...[more]

    New PhD Student

    Siming Bayer joined our team on November 1st, pursuing her PhD research with the title:   Non-rigid Registration of DSA Images to compensate the intraoperative Brain Shift in Open Skull Surgery   Brain shift is the...[more]

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