A Novel Framework for Assessing Facial Attractiveness Based on Facial Proportions

Title
A Novel Framework for Assessing Facial Attractiveness Based on Facial Proportions
Authors
김익재조정현최희승남기표홍유진
Keywords
facial attractiveness; facial beauty; ratio feature; score fusion
Issue Date
2017-11
Publisher
Symmetry
Citation
VOL 9, NO 12-294-12
Abstract
In this paper, we present a novel framework for automatically assessing facial attractiveness that considers four ratio feature sets as objective elements of facial attractiveness. In our framework, these feature sets are combined with three regression-based predictors to estimate a facial beauty score. To enhance the system’s performance to make it comparable with human scoring, we apply a score fusion technique. Experimental results show that the attractiveness score obtained by the proposed framework better correlates with human assessments than the scores from other predictors. The framework’s modularity allows any features or predictors to be integrated into the facial attractiveness measure. Our proposed framework can be applied to many beauty-related fields, such as the plastic surgery, cosmetics, and entertainment industries.
URI
http://pubs.kist.re.kr/handle/201004/67015
ISSN
2073-8994
Appears in Collections:
KIST Publication > Article
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