Welcome to the MenpoFit documentation!
MenpoFit is a Python package for building, fitting and manipulating deformable models. It includes state-of-the-art deformable modelling techniques implemented on top of the Menpo project. Currently, the techniques that have been implemented include:
Weighted Gauss-Newton Optimisation with fixed Jacobian and Hessian
Forward Additive, Forward Compositional, Inverse Compositional
Residuals: SSD, Fourier SSD, ECC, Gradient Correlation, Gradient Images
Alternating/Project Out with Regularised Landmark Mean Shift
Active Shape Model
Regularised Landmark Mean Shift
Please see the to References for an indicative list of papers that are relevant to the methods implemented in MenpoFit.