menpofit.sdm
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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.