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eos is a lightweight 3D Morphable Face Model fitting library that provides basic functionality to use face models, as well as camera and shape fitting functionality. It's written in modern C++11/14. MorphableModel and PcaModel classes to represent 3DMMs, with basic operations like draw_sample(). Supports the Surrey Face Model (SFM), 4D Face Model (4DFM), Basel Face Model (BFM) 2009 and 2017, and the Liverpool-York Head Model (LYHM) out-of-the-box.
Features
- 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, with 6 linear expression blendshapes of the SFM: 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
- Texture extraction to obtain a pose-invariant representation of the face texture
- Python bindings: Much of eos's functionality is available as a python module
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow eos
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