Probabilistic Morphable Models (PMMs)
This webpage provides all educational material necessary to understand the concepts of PMMs and all software necessary to build large scale software applications.
PMMs are a fully open probabilistic framework for a model based image analysis using an “analysis by synthesis” approach. The framework splits naturally into a component for statistical object modelling and a component for fitting such a model to a novel data. The analysis of novel data is performed by fitting statistical object models to data using MCMC optimization.
This webpage contains:
- scientific background papers
- lectures and tutorials on theory and software usage
- open-source software framework
- data and Morphable Face Models
The intended audience are beginning graduate students and researchers in computer vision and medical image analysis, who plan to apply statistical shape and appearance models as part of their work. Prerequisite is good knowledge of basic probability theory and statistics as well as linear algebra. Participants should have basic programming skills in at least one programming language (ideally Java, C++ or Python).