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- Title
A bi-prototype theory of facial attractiveness.
- Authors
Chang, Fu; Chou, Chien-Hsing
- Abstract
The attractiveness of human faces can be predicted with a high degree of accuracy if we represent the faces as feature vectors and compute their relative distances from two prototypes: the average of attractive faces and the average of unattractive faces. Moreover, the degree of attractiveness, defined in terms of the relative distance, exhibits a high degree of correlation with the average rating scores given by human assessors. These findings motivate a bi-prototype theory that relates facial attractiveness to the averages of attractive and unattractive faces rather than the average of all faces, as previously hypothesized by some researchers.
- Publication
Neural computation, 2009, Vol 21, Issue 3, p890
- ISSN
0899-7667
- Publication type
Journal Article
- DOI
10.1162/neco.2008.07-07-566