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Seminar Inverse Problems in Image Processing and Computer Vision (SemInvProb)5 ECTS (englische Bezeichnung: Seminar Inverse Problems in Image Processing and Computer Vision)
(Prüfungsordnungsmodul: Seminar im Masterstudium)
Modulverantwortliche/r: Andreas Maier Lehrende:
Andreas Maier, Joachim Hornegger, Thomas Köhler
Startsemester: |
WS 2016/2017 | Dauer: |
1 Semester | Turnus: |
unregelmäßig |
Präsenzzeit: |
80 Std. | Eigenstudium: |
70 Std. | Sprache: |
Englisch |
Lehrveranstaltungen:
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:
Schlüsselwörter: inverse problems, ill-posed problems, regularization, optimization, image processing, computer vision
www: https://www5.cs.fau.de/lectures/ws-1617/seminar-inverse-problems-in-image-processing-and-computer-vision-seminvprob/
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
- 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)
Dieses Modul ist daneben auch in den Studienfächern "Informatik (Master of Science)" verwendbar. Details
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
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