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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)