FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation
This dataset addresses the need for more precise facial expression analysis and animation, though it is incremental as it builds upon existing datasets like FEAFA and DISFA.
The authors tackled the problem of representing continuous facial expression changes by introducing FEAFA+, an extended dataset with 150 video sequences and 230,184 frames manually annotated with floating-point intensity values for 24 facial action units, providing baseline results for AU intensity regression tasks.
Nearly all existing Facial Action Coding System-based datasets that include facial action unit (AU) intensity information annotate the intensity values hierarchically using A--E levels. However, facial expressions change continuously and shift smoothly from one state to another. Therefore, it is more effective to regress the intensity value of local facial AUs to represent whole facial expression changes, particularly in the fields of expression transfer and facial animation. We introduce an extension of FEAFA in combination with the relabeled DISFA database, which is available at https://www.iiplab.net/feafa+/ now. Extended FEAFA (FEAFA+) includes 150 video sequences from FEAFA and DISFA, with a total of 230,184 frames being manually annotated on floating-point intensity value of 24 redefined AUs using the Expression Quantitative Tool. We also list crude numerical results for posed and spontaneous subsets and provide a baseline comparison for the AU intensity regression task.