2D-3D face recognition via Restricted Boltzmann Machines

@article{Wang20142D3DFR,
  title={2D-3D face recognition via Restricted Boltzmann Machines},
  author={Xiaolong Wang and Vincent Ly and Rui Guo and Chandra Kambhamettu},
  journal={2014 International Conference on Computer Vision Theory and Applications (VISAPP)},
  year={2014},
  volume={2},
  pages={574-580}
}
This paper proposes a new scheme for the 2D-3D face recognition problem. Our proposed framework mainly consists of Restricted Boltzmann Machines (RBMs) and a correlation learning model. In the framework, a single-layer network based on RBMs is adopted to extract latent features over two different modalities. Furthermore, the latent hidden layer features of different models are projected to formulate a shared space based on correlation learning. Then several different correlation learning… CONTINUE READING
6 Citations
27 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Similar Papers

Loading similar papers…