Abstract:Abstract. Human faces demonstrate clear Sexual Dimorphism (SD) for recognizing the gender. Different faces, even of the same gender, convey different magnitude of sexual dimorphism. However, in gender classification, gender has been interpreted discretely as either male or female. The exact magnitude of the sexual dimorphism in each gender is ignored. In this paper, we propose to evaluate the SD magnitude, using the ratio of votes from the Random Forest algorithm performed on 3D geometric features related to t… Show more
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