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Probabilistic Morphable Models (PMMs)

Probabilistic Morhpable Models

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.

Core Publications

The following publications form the theoretical basis of Probabilistic Morphable Models.

Applications to face image analysis

For successful real-world application, carefully set up models are needed. The following papers work out individual steps of the approach in detail for the application of face-image analysis.