3260 papers • 126 benchmarks • 313 datasets
3D facial expression recognition is the task of modelling facial expressions in 3D from an image or video. ( Image credit: Expression-Net )
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It is shown that the ExpNet produces expression coefficients which better discriminate between facial emotions than those obtained using state of the art, facial landmark detectors, and is more robust to scale changes than landmark detectors.
Adding a benchmark result helps the community track progress.