Topic |
Lecture
|
Exercise |
Type |
Handout |
Duration |
Introduction – graphics pipeline-API-architecture |
March 20/21 |
none |
Colors and color models, perception |
March 27/28 |
Practice: OpenGL rendering. |
March 27 |
1 week |
Transformations, projections, camera models |
April 03/04 (held by DC) |
Theory: Light and colors. |
April 03 |
1 week |
Lighting, reflection, shading models, ray tracing |
April 10/11 |
Practice: Trackball using Quaternions. |
April 10 |
1 week |
Texturing and aliasing, parametrization
Attention: There will be an additional lecture on April 17, 14:15-16:00, in HG F3 |
April 17/17 |
Practice: Multipass rendering. |
April 17 |
1 week |
Sampling theorem, Fourier transform, convolution, LTI |
April 18 / May 02 |
Theory: Parametrization, Fourier |
April 24 |
2 weeks |
Linear filtering (low pass, high pass, band pass), Laplace pyramides, recursive filtering
Attention: There will be an additional lecture on May 03, 09:15-10:00, in HG E3 |
(May 01 no lecture - Tag der Arbeit) May 02/03 |
none |
Image processing and Computer Vision, Convolution, Fourier transform, Linear Shift invariant Systems |
May 08/09 |
Practice: Mipmaps (only Tuesday) |
May 08 |
1 week |
Image Restoration, Wiener Filter, A Primer on Variational Calculus |
May 15/16 - The lecture on Wednesday will take place! |
Practice |
May 15 |
1 week |
Bayes rules, optimal classifiers |
May 22/23 |
Theory |
May 22 |
1 week |
Linear classifiers, support vector machines |
May 29/30 |
Practice |
May 29 |
1 week |
Dimensionality reduction, PCA, ICA, local linear embedding |
June 05/06 |
Theory |
June 05 |
1 week |
Clustering – K-means, C-means, EM - compression |
June 12/13 |
Practice |
June 12 |
1 week |
MRF models, Bayes nets |
June 19/20 |
none |