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Selective Transfer Machine for Personalized Facial Action Unit Detection
Automatic facial action unit (AFA) detection from video is a long-standing problem in facial expression analysis. Most approaches emphasize choices of features and classifiers. They neglect individual differences in target persons. People vary markedly in facial morphology (e.g., heavy versus delicate brows, smooth versus deeply etched wrinkles) and behavior. Individual differences can dramatically influence how well generic classifiers generalize to previously unseen persons. While a possibledoi:10.1184/r1/6560810.v1 fatcat:2qeywdg4kba6pmjrbzxt5cqq5e