Automatic analysis of facial expressions

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Automatic Analysis of Facial Expressions: The State of the Art

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[] Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. The solution is based on the idea of encoding local and global deep convolutional neural network DCNN features extracted from still images, in compact local and global covariance descriptors. The space geometry of the covariance matrices is that of symmetric positive definite SPD matrices.
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