Learning Facial Attractiveness
نویسندگان
چکیده
School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel [email protected], [email protected] Department of Computer Sciences, Academic College of Tel-Aviv-Yaffo, Tel-Aviv 64044, Israel [email protected] DRAFT (03/06/2004) Abstract In this work we study of the notion of “attractiveness” of faces in a machine-learning context. To this end, we collected human beauty ratings for datasets of facial images and used various techniques for learning the average attractiveness of a face. The results clearly show that beauty is a universal concept, which can be learned by a machine. Due to the limited size of the dataset, most of the information about the target is extracted from features that are simply correlated with facial beauty.
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تاریخ انتشار 2004