2D-3D face recognition via Restricted Boltzmann Machines

  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)},
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
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