Added Edge-fitting to readme, restructured bullet points

README.md

@@ -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