The automatic measurement of facial beauty

Author

Aarabi, Parham ; Hughes, Dominic ; Mohajer, Keyvan ; Emami, Majid

Author_Institution

Dept. of Comput. Sci., Stanford Univ., CA, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

2644

Abstract

We develop an automatic facial beauty scoring system based on ratios between facial features. After isolating the face, eyes, eyebrows and mouth in a portrait photograph, we represent a face abstractly as an 8-element vector of ratios between these features. We use a variant of the K-nearest neighbor algorithm, in the context of a parameterized metric space optimized using a genetic algorithm, to learn a beauty assignment function from a training set of photographs rated by humans. We assess performance on a test set of photographs, concluding that when facial ratios are accurately extracted in the computer vision phase, the results of the program are highly correlated with median-human ratings of beauty

Keywords

computer vision; feature extraction; genetic algorithms; visual perception; 8-element vector; K-nearest neighbor algorithm; artificial perception; automatic facial beauty scoring system; automatic measurement; beauty assignment function; computer vision phase; eyebrows; eyes; face; facial feature ratios; facial ratio extraction; genetic algorithm; median-human ratings; mouth; parameterized metric space; pattern recognition; portrait photograph; test set; training set; Computer science; Computer vision; Eyebrows; Eyes; Facial features; Feature extraction; Genetic algorithms; Humans; Mouth; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2001 IEEE International Conference on

Conference_Location

Tucson, AZ

ISSN

1062-922X

Print_ISBN

0-7803-7087-2

Type

conf

DOI

10.1109/ICSMC.2001.972963

Filename

972963