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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
| 9:00 | Mathematical Foundations | Bastian Goldlücke |
| 10:40 | Coffee break | |
| 11:00 | Continuous Optimization in Computer Vision | Thomas Pock |
| 13:00 | Lunch break | |
| 14:00 | Variational Methods and Geometric Reconstruction | Daniel Cremers |
| 15:40 | Coffee break | |
| 16:00 | The Mumford-Shah Problem in Computer Vision | Thomas Pock |
| 17:00 | Vectorial Total Variation and Multilabel Problems | Bastian Goldlücke |
