Fig. 1
From: Facial expression recognition and histograms of oriented gradients: a comprehensive study
Proposed system pipeline: faces are cropped and registered and then HOG descriptor is applied to build a data vector that is provided as input to a SVM bank that gives the estimation of the observed facial expression. Finally, the prediction is queued in the temporal window exploited by the decision rule in order to filter possible misclassifications