Face aligment via Regressing Local Binary Features (LBF) #144
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This pull request implements the face alignment method described in the "Face Alignment at 3000 FPS via Regressing Local Binary Features" [1] paper.
This approach has two components: a set of local binary features and a locality principle for learning those features. The locality principle is used to guide the learning of a set of highly discriminative local binary features for each landmark independently. The obtained local binary features are used to learn a linear regression that later will be used to guide the landmarks in the alignment phase.
This is the work of various members of the VoxarLabs [2] team.
Known issues
Future improvements
[1] http://research.microsoft.com/pubs/192097/cvpr12_facealignment.pdf
[2] http://cin.ufpe.br/~voxarlabs/Home.html