Variational Methods for Computer Vision
WS 2014/15, TU München
Lecture
Location: Room 02.09.023
Time and Date:
Wednesday, 10.15h - 11.45h
Thursday, 10.15h - 11.00h
Lecturer: Prof. Dr. Daniel Cremers
Start: Wednesday 15.10.2014
The lectures are held in English.
Exam
The exam takes place on Wednesday, January 28th between 10:15am and 12:15pm (120 minutes) in MI HS2 .
Exercises
Location: Room 02.05.014
Time and Date: Thursday 14:00h-16:15h
Organization: Thomas Möllenhoff
Start: Thursday, 23.10.2014, 14:00h (not 14:15h)
Location: Room 02.05.014
Time and Date: Tuesday 16:00h-18:15h
Organization: Mohamed Souiai
Start: Tuesday, 28.10.2014, 16:00h (not 16:15h)
Summary
Variational Methods are among the most classical techniques for optimization of cost functions in higher dimension. Many challenges in Computer Vision and in other domains of research can be formulated as variational methods. Examples include denoising, deblurring, image segmentation, tracking, optical flow estimation, depth estimation from stereo images or 3D reconstruction from multiple views.
In this class, I will introduce the basic concepts of variational methods, the Euler-Lagrange calculus and partial differential equations. I will discuss how respective computer vision and image analysis challenges can be cast as variational problems and how they can be efficiently solved. Towards the end of the class, I will discuss convex formulations and convex relaxations which allow to compute optimal or near-optimal solutions in the variational setting.
Prerequisites
The requirements for the class are knowledge in basic mathematics, in particular multivariate analysis and linear algebra. Some prior knowledge on optimization is a plus but is not necessary.
Lecture Material
Course material (slides and exercise sheets) can be accessed here.
Please email Dipl. Inf. Mohamed Souiai for password request.
Videos
Date of Lecture | Link |
---|---|
17.10.2013 | Video of Lecture 1 |
23.10.2013 | Video of Lecture 2 |
24.10.2013 | Video of Lecture 3 |
31.10.2013 | Video of Lecture 4 |
06.11.2013 | Video of Lecture 5 |
07.11.2013 | Video of Lecture 6 |
13.11.2013 | Video of Lecture 7 |
14.11.2013 | Video of Lecture 8 |
20.11.2013 | Video of Lecture 9 |
21.11.2013 | Video of Lecture 10 |
27.11.2013 | Video of Lecture 11 |
28.11.2013 | Video of Lecture 12a, Video of Lecture 12b |
11.12.2013 | Video of Lecture 13 |
18. & 19.12.2013 | Video of Lecture 14 |
08.01.2014 | Video of Lecture 15 |
09.01.2014 | Video of Lecture 16 |
16.01.2014 | Video of Lecture 17 |
22.01.2014 | Video of Lecture 18 |
23.01.2014 | Video of Lecture 19 |
30.01.2014 | Video of Lecture 20 |