Seminar Inverse Problems in Image Processing and Computer Vision (SemInvProb)5 ECTS
(englische Bezeichnung: Seminar Inverse Problems in Image Processing and Computer Vision)

Lectures:

• • Seminar Inverse Problems in Image Processing and Computer Vision
    (Seminar, 4 SWS, Andreas Maier et al., Mon, 8:00 - 10:00, KH 1.021; findet im Kollegienhaus statt)

Inhalt:

An inverse problem refers to the inference of latent model parameters from a set of noisy measurements under a generative model that explains the causal relationship between both. Despite the broad field of applications, this typically leads to optimization problems that can be tackled by common mathematical tools. In computer vision and image processing, many tasks of practical relevance can be formulated as inverse problems ranging from low-level vision to image analysis and scene understanding.

This seminar focuses on theory along with some of the classical applications of inverse problems in image processing and computer vision. The topics covered by the seminar include but are not limited to:

• image filtering and denoising
  

• blind image restoration, upsampling and super-resolution
  

• motion estimation
  

• inpainting
  

• image segmentation
  

• shape-from-X and 3-D reconstruction

Lernziele und Kompetenzen:

• perform literature research based on a given scientific article
  

• independently study the topic based on the found literature
  

• present the given topic in a manner that is understandable for their peers
  

• get to know the requirements of a scientific talk at an international conference
  

• give a talk in English and gain language competence
  

• understand and investigate inverse problems in image processing and computer vision

Weitere Informationen:

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:

1. Computational Engineering (Rechnergestütztes Ingenieurwesen) (Master of Science): ab 1. Semester
   (Po-Vers. 2013 | TechFak | Computational Engineering (Rechnergestütztes Ingenieurwesen) (Master of Science) | Seminar, Masterarbeit | Seminar im Masterstudium)
2. Informatik (Master of Science)
   (Po-Vers. 2010 | TechFak | Informatik (Master of Science) | Seminar, Projekt, Masterarbeit | Seminar)

Studien-/Prüfungsleistungen:

Seminar Inverse Problems (Prüfungsnummer: 250863)

(englischer Titel: Seminar Inverse Problems)

Prüfungsleistung, Seminarleistung, benotet, 5 ECTS

Anteil an der Berechnung der Modulnote: 100.0 %

weitere Erläuterungen:
The grade is composed to 50% of an oral presentation and 50% of a 6-pages seminar paper (IEEE double-column style) that is due at the end of the lecture period.

Prüfungssprache: Englisch

Erstablegung: WS 2016/20171. Wdh.: keine Wiederholung

1. Prüfer:

Andreas Maier