Fully automatic 3D facial expression recognition using differential mean curvature maps and histograms of oriented gradients

@article{Lemaire2013FullyA3,
  title={Fully automatic 3D facial expression recognition using differential mean curvature maps and histograms of oriented gradients},
  author={Pierre Lemaire and Mohsen Ardabilian and Liming Chen and Mohamed Daoudi},
  journal={2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)},
  year={2013},
  pages={1-7}
}
In this paper, we propose an holistic, fully automatic approach to 3D Facial Expression Recognition (FER). A novel facial representation, namely Differential Mean Curvature Maps (DMCMs), is proposed to capture both global and local facial surface deformations which typically occur during facial expressions. These DMCMs are directly extracted from 3D depth images, by calculating the mean curvatures thanks to an integral computation. To account for facial morphology variations, they are further… CONTINUE READING
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Meunier , Emotion recognition using dynamic grid - based HoG features

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