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Human exhibit rich gender cues in both appearance and behavior. In computervision domain, gender recognition from facial appearance have been extensivelystudied, while facial behavior based gender recognition studies remain rare. Inthis work, we first demonstrate that facial expressions influence the genderpatterns presented in 3D face, and gender recognition performance increaseswhen training and testing within the same expression. In further, we designexperiments which directly extract the morphological changes resulted fromfacial expressions as features, for expression-based gender recognition.Experimental results demonstrate that gender can be recognized withconsiderable accuracy in Happy and Disgust expressions, while Surprise and Sadexpressions do not convey much gender related information. This is the firstwork in the literature which investigates expression-based genderclassification with 3D faces, and reveals the strength of gender patternsincorporated in different types of expressions, namely the Happy, the Disgust,the Surprise and the Sad expressions.

Which Facial Expressions Can Reveal Your Gender? A Study With 3D Faces