Predicting Facial Attractiveness from Colour Cues: A New Analytic Framework.

ABSTRACT: Various facial colour cues were identified as valid predictors of facial attractiveness, yet the conventional univariate approach has simplified the complex nature of attractiveness judgement for real human faces. Predicting attractiveness from colour cues is difficult due to the high number of candidate variables and their inherent correlations. Using datasets from Chinese subjects, this study proposed a novel analytic framework for modelling attractiveness from various colour characteristics. One hundred images of real human faces were used in experiments and an extensive set of 65 colour features were extracted. Two separate attractiveness evaluation sets of data were collected through psychophysical experiments in the UK and China as training and testing datasets, respectively. Eight m

SUBMITTER: Lu Y 

PROVIDER: S-EPMC10819822 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature