Building shape models: fundamental concepts in theory and practice
We introduce the fundamental concept of Gaussian Processes, discuss how it generalises the multivariate normal distributions, and build a first shape model.
- Modelling shape deformations
- Gaussian Processes: From random vectors to random functions
- Learning a model from example data
- Superimposing shapes
The following tutorials show how the concepts are translated into practice using Scalismo.