Week 1

• Shape modelling basics

Week 2

• Gaussian processes

Week 3

• Probabilistic aspects of shape models

Week 4

• Modeling with Gaussian processes

Week 5

• Reconstructing missing parts

Week 6

• Fitting models to data

Week 7

• Model-based image analysis

Week 8

• Conclusion and outlook