@@ -15,10 +15,12 @@ At the moment, it mainly provides the following functionality:
* MorphableModel class to represent a 3DMM (using OpenCVs `cv::Mat`)
* Our low-resolution, shape-only 3D Morphable Face Model ([share/sfm_shape_3448.bin](https://github.com/patrikhuber/eos/blob/master/share/sfm_shape_3448.bin))
* A linear scaled orthographic projection camera pose estimation algorithm
* Shape fitting, implementation of the linear shape-to-landmarks fitting of O. Aldrian & W. Smith, _Inverse Rendering of Faces with a 3D Morphable Model_, PAMI 2013
* Expression fitting, and 6 linear expression blendshapes: anger, disgust, fear, happiness, sadness, surprise.
* Isomap texture extraction to obtain a pose-invariant representation of the face texture.
* Fast, linear pose, shape and expression fitting, edge and contour fitting:
* Linear scaled orthographic projection camera pose estimation
* Linear shape-to-landmarks fitting, implementation of O. Aldrian & W. Smith, _Inverse Rendering of Faces with a 3D Morphable Model_, PAMI 2013
* Expression fitting, and 6 linear expression blendshapes: anger, disgust, fear, happiness, sadness, surprise
* Edge-fitting, heavily inspired by: A. Bas et al., _Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences_, ACCVW 2016
* Isomap texture extraction to obtain a pose-invariant representation of the face texture
* (_Experimental_): Non-linear fitting cost functions using Ceres for shape, camera, blendshapes and the colour model (needs Ceres to be installed separately)
* (_**New**, experimental_): Python bindings for parts of the library
