3D Face Reconstruction by Learning from Synthetic Data

@article{Richardson20163DFR,
  title={3D Face Reconstruction by Learning from Synthetic Data},
  author={Elad Richardson and Matan Sela and Ron Kimmel},
  journal={2016 Fourth International Conference on 3D Vision (3DV)},
  year={2016},
  pages={460-469}
}
Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-based approach for reconstructing a three-dimensional face from a single image. Recent face recovery methods rely on accurate localization of key characteristic points. In contrast, the proposed approach is based on a Convolutional-Neural-Network (CNN) which extracts the face geometry directly from its image. Although… CONTINUE READING

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