Frame-Based Facial Expression Recognition Using Geometrical Features
Figure 8
The most facial expression confused rates versus the synthesized error in the facial point localization. The experiment was conducted on CK+ database with SVM classifier. is the Euclidean distance between the detected point and the ground truth divided by width of the detected face. For example, sadness is most confused for anger (Sa confused by An).
