menpofit.sdm

Supervised Descent Method

SDM is a cascaded-regression deformable model that learns average descent directions that minimise a given cost function.

Pre-defined Models

Models with pre-defined algorithms that are commonly-used in literature.

Non-Parametric Algorithms

The cascaded regression of these algorithms is performed between landmark coordinates and image-based features.

Parametric Shape Algorithms

The cascaded regression of these algorithms is performed between the parameters of a statistical shape model and image-based features.

Parametric Appearance Algorithms

The cascaded regression of these algorithms is performed between landmark coordinates and features that are based on a statistical parametric appearance model.

Fully Parametric Algorithms

The cascaded regression is performed between the parameters of a statistical shape model and features that are based on a statistical parametric appearance model.