# 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.