Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Links


Variational Methods in Computer Vision

Tutorial ECCV 2010

Daniel Cremers, Bastian Goldlücke, Thomas Pock

Content

  • Basic concepts of variational methods: variational approach, Euler-Lagrange equations, duality, …
  • Foundations of convex optimization and convex relaxation techniques
  • Optimal first-order algorithms for convex optimization
  • Variational formulations for classical computer vision problems: image segmentation, optical flow, stereo and multiview reconstruction, …
  • Relations to discrete optimization and Markov random fields
  • Mumford-Shah and multilabel problems

Schedule

Sunday, 5.9.2010

9:00Mathematical FoundationsBastian Goldlücke
10:40Coffee break
11:00Continuous Optimization in Computer VisionThomas Pock
13:00Lunch break
14:00Variational Methods and Geometric ReconstructionDaniel Cremers
15:40Coffee break
16:00The Mumford-Shah Problem in Computer VisionThomas Pock
17:00Vectorial Total Variation and Multilabel ProblemsBastian Goldlücke

Slides

Complete download (.zip)

Single chapters (.pdf)

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

05.07.2022

We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2022, Tel Aviv, Israel.

03.04.2022

In April 2022 Jürgen Sturm and Daniel Cremers were featured among the top 6 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

08.03.2022

We have six papers accepted to CVPR 2022 in New Orleans!

31.01.2022

We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!

More