Skip to main content
FAU.de
Pattern Recognition LabFriedrich-Alexander-Universität Pattern Recognition Lab
  • Our Team
  • Research Projects
  • Teaching
Friedrich-Alexander-Universität
Erlangen-Nürnberg
FAU Logo
  1. Start
  2. Start

Accessibility

Public authorities are obliged to make websites and mobile applications accessible in accordance with Directive (EU) 2016/2102 of the European Parliament and of the Council. The following accessibility statement documents the implementation status of this website in accordance with the applicable legislation.

Compliance status

Unknown: Content was not rated or rating results are not available

Content that is not accessible to people with disabilities

Help and contact in case of problems

You can report deficiencies in compliance with accessibility requirements or request accessible information that does not need to be presented in an accessible manner.

Contact Person

  • Email: cs5-admin-web@lists.fau.de

Contact form

Enter your name.

Enter an email address we can use to contact you.

Describe the accessibility barrier or your request as specifically as possible.

Enter the result as a number.

Enforcement procedures

If a request via the contact option remains wholly or partially unanswered within six weeks, the competent supervisory authority shall examine, at the request of the user, whether measures are necessary in the context of monitoring vis-à-vis the obligated party.

Contact information of the enforcement oversight body:

Landesamt für Digitalisierung, Breitband und Vermessung

IT-Dienstleistungszentrum des Freistaats Bayern - Durchsetzungs- und Überwachungsstelle für barrierefreie Informationstechnik
St.-Martin-Straße 47
81541 München
  • Email: bitv@bayern.de
  • URL: https://www.ldbv.bayern.de/digitalisierung/bitv/

Pattern Recognition Lab (PRL)

Lehrstuhl für Mustererkennung (LME)

Contact and Directions

Friedrich-Alexander-Universität Erlangen-Nürnberg
Lehrstuhl für Mustererkennung (Informatik 5)
Martensstr. 3
91058 Erlangen
Phone: +49 9131 85 27775 Mail: cs5-info@lists.fau.de Directions
  • Contact
  • Login
  • Intranet
  • Imprint
  • Privacy
  • Accessibility
  • Instagram
  • Facebook
  • Bluesky
  • RSS Feed
FAU Logo
Friedrich-Alexander-Universität
Erlangen-Nürnberg

Moving knowledge

FAU is the most innovative university in Germany, and second across Europe. Established in 1743, it is one of the largest universities in Germany, with approximately 40,000 students, over 600 professors and around 16,000 members of staff.

Services

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.
  • Intern
  • FAUdir
  • CRIS
  • campo
  • StudOn
  • RRZE

Structure

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.
[fauorga show="menu"]

Website Menu

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.
    • News
    • Cooperations
    • Join the Pattern Recognition Lab
    • Ph.D. Gallery
    • Contact
    • Directions
    • Our Team
    • Students
    • Alumni
      • Computer Vision
      • Data Processing for Utility Infrastructure
      • Inverse Problems and Applications (IPA)
      • Learning Algorithms for Medical Big Data Analysis (LAMBDA)
      • Magnetic Resonance Imaging (MRI)
      • Ophthalmic Imaging
      • Speech Processing and Language Understanding
      • Time Series Intelligence
    • Research Projects
    • Publications
    • Competitions
    • Datasets
    • Research Demo Videos
    • Pattern Recognition Blog
    • Beyond the Patterns
    • Curriculum / Courses
    • Lecture Notes
    • Lecture Videos
      • Invited Talks
      • Science Talks
      • Student Works
      • CONRAD Tutorials
      • CT Reconstruction Animations
      • Interventional Medical Image Processing Summer 2016
      • Pattern Recognition Symposium Winter 2019/20
      • Forschungs- & Hochschulpraktikum
      • Master Project
      • Thesis Guidelines (ENGLISH VERSION)
      • Thesis Guidelines (GERMAN VERSION)
    • Free Medical Engineering Resources
    • Free Machine and Deep Learning Resources

Search

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.

Search all pages and documents: