GeoEngine - Geomatics Engineering (Master of Science)

Pattern Recognition

3. Semester GeoEngine

Pattern Recognition (3. Semester)

Studiengang: GeoEngine (Master of Science)
Semester: 3. Semester  
Module: 77790 Computer Vision and Pattern Recognition
Instructure: Prof. Dr.-Ing. Uwe Sörgel
Prof. Dr.-Ing. Norbert Haala
M.Sc. Dominik Laupheimer
Lecture: Wednesday / weekly / 11:30-13:00
Raum: M17.73
Exercise: Thursday / biweekly / 14:00-15:30
Raum: 2.370 (GS 24D)
Course Contents
Introduction to pattern recognition, image preprocessing and feature extraction, knowledge based image analysis, decision theory and numerical classification, Bayesian networks and Markov Random Fields, applications for photogrammetric image analysis
Pre-requisites
 
Recommended textbooks
 
Exams
 

 

Lecture Notes
  1. Introduction
  2. Human Visual System
  3. Image Acquisition and Preprocessing
  4. Scale Space
  5. Segmentation
  6. Features
  7. Models
  8. Representation and Application of Knowledge
  9. Overview of Statistical Methods
  10. Bayesian Classifcation
  11. Probabilistic Discriminative Classifiers
  12. Nonprobabilistic Discriminative Classifiers
  13. Convolutional Neural Network
  14. Graphical Methods
To the top of the page