Probabilistic aspects of shape models
We discuss how the Gaussian Process assumption leads to flexible and practical computer implementations of shape models.
- The marginalisation property
- Sampling from a shape model
- Finite rank representations of a Gaussian process
- Principal component analysis
The following tutorials show how the concepts are translated into practice using Scalismo.