Bildverstehen (Image Understanding)

This course dwells on the fundamentals of image processing and image analysis and gives an overview about the challenges in the processing of heterogeneous visual media.

Course language is English.

The course is divided into the following topics / Der Kurs untergliedert sich in folgende Themengebiete:

1. Introduction
   1. Challenges
   2. Applications
2. Image formation
   1. Geometric primitives
   2. Color spaces
   3. Compression
3. Image processing
   1. Histogram equalization
   2. Linear filtering
   3. Fourier transforms
   4. Pyramids and wavelets
4. Geometric transformations
   1. Parametric transformations
   2. Mesh based warping
   3. Face Swapping
   4. Morphing
5. Feature detection and matching
   1. Feature detection
   2. Feature description
   3. Feature extraction
   4. Feature matching
6. Segmentation
   1. Clustering (K means, GMM)
   2. Mean shift
   3. Graph based segmentation
   4. Energy based segmentation
7. Motion
   1. Optical flow
   2. Horn Schunck
   3. Lucas Kanade
8. Stereovision
   1. Geometry of a stereo camera
   2. Correspondance analysis