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Image Analysis with Statistical Models
Last Updated: 2026-02-05 15:14:30
Abstract
Image analysis and scene understanding with statistical methods and models have made substantial progress in the two decades. The course introduces methods to solve the shape from X problem for object reconstruction, it discusses Markov random fields for image processing reasons and graphical models are studied for image understanding.
Objective
Students will learn statistical models for image analysis and image understanding.
Content
Image analysis and scene understanding with statistical methods and models have made substantial progress in the two decades. The course deals with the problems how we can reconstruct objects from images (the shape from X problem). A widely used class of models - Markov random fields - are studied for image processing reasons. Furthermore, graphical models as a structured representation of a set of random variables are discussed for image understanding.
Resources
Literature
Wird in der Vorlesung bekannt gegeben.
General Information
- Language
- English
- Levels
- BSC , DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 15 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Image Analysis with Statistical Models |
|
2 h weekly |
| exercise | Image Analysis with Statistical Models |
|
1 h weekly |