Lehrveranstaltung

Praktikum
Online
, ECTS-Studium, ECTS-Credits: 10, Sprache Deutsch oder Englisch, This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again
Zeit: Mo 12:00 - 14:00, Übung 3 / 01.252-128, 00.156-113 CIP

Studienfächer / Studienrichtungen

WPF INF-MA ab 1
WPF MT-MA ab 1

Voraussetzungen / Organisatorisches

Basic knowledge of image processing is desirable. In the first session there will be a short recap on image representation and basic image filtering techniques. However, having visited lectures such as Introduction to Pattern Recognition (IntroPR) or Diagnostic Medical Image Processing (DMIP) might prove beneficial.
Please contact us if you have any questions. You can register via Studon (https://www.studon.fau.de/crs4040713.html) for the Computer Vision Project. During the semester lecture and exercise alternate on a weekly basis. Exercises are supervised and take place in one of the CIP pools. All exercises must be completed.

You can get either 5 or 10 ECTS credits for this project. The following options are available:
5 ECTS (counts as: Hochschulpraktikum)
This option requires:

lectures (strongly recommended as they introduce the background required for the exercises)
exercises (in groups of 2 people) need to be finished on time
individual presentation about a state-of-the-art research paper at the end of the semester (graded if needed)

10 ECTS (counts as Hochschulpraktikum (5 ECTS) + Forschungspraktikum (5 ECTS), or Master Project Computer Science (10 ECTS))

lectures (strongly recommended as they introduce the background required for the exercises)
exercises (in groups of 2 people) need to be finished on time
individual coding/research project under supervision of a LME PhD student at the end of regular schedule (graded if needed)

Important: You cannot use the lecture/exercise part as a 5 ECTS research project (Forschungspraktikum). Please contact one of the PhD students at the lab if you need a research project.

Inhalt

This project gives you the chance to learn about current computer vision topics and get practical experience in the field during the exercises.
Last semester, the following topics were covered:

Image processing of distance images
Statistical Shape Models
Face Recognition
Super-Resolution
Image Retrieval

(erwartete Hörerzahl original: 10, fixe Veranstaltung: nein)

ECTS-Informationen:

Credits: 10

Zusätzliche Informationen

Schlagwörter: Master Project, Pattern Recognition, Computer Vision
Erwartete Teilnehmerzahl: 10, Maximale Teilnehmerzahl: 14
www: https://lme.tf.fau.de/teaching/curriculum-courses/lv_id/21623404/

Verwendung in folgenden UnivIS-Modulen

Startsemester WS 2022/2023:: Projekt Mustererkennung (ProjME)

Institution: Lehrstuhl für Informatik 5 (Mustererkennung)



	UnivIS ist ein Produkt der Config eG, Buckenhof