Frontal facial analysis of male celebrities attractiveness standards through artificial intelligence

The modern emphasis on celebrities' facial features highlights their increasing role in defining beauty ideals. This retrospective study used artificial intelligence to examine how facial patterns influence attractiveness standards in the profile views of male celebrities. It aimed to compare different racial groups and establish potential benchmarks for appealing facial profiles.

In this retrospective cohort study, a Python-based algorithm analyzed frontal facial patterns and their effect on aesthetic standards using publicly available images of male celebrities worldwide. Eight ideal angular or proportional measurements, identified from existing literature, were trained as a reference for assessing facial attractiveness. Demographic data were summarized statistically. A one-way ANOVA test was used to evaluate data distribution, and differences between group means were analyzed with nonparametric independent sample tests, considering results statistically significant at p < 0.05.

Facial analysis of 156 male celebrities across six ethnic groups revealed both universal patterns and subtle ethnic variations. A fundamental lower > superior > middle facial third hierarchy was confirmed across all groups with the lower third being dominant (p < 0.001). The zygomatic-mandibular ratio showed remarkable stability (approx. 90 %) and homogeneity across populations, despite significant differences in absolute dimensions (p < 0.001). Key proportional relationships (e.g., nose-to-mouth ratio: 0.70-0.73) were more consistent than absolute measurements. Significant intergroup differences in morphological variability were identified (p = 0.001), with Africans demonstrating the greatest amplitude in the lower third and highest Coefficient of Variation. Facial asymmetry patterns varied by ethnicity, with overall asymmetry significantly greater than ocular asymmetry in all groups (p < 0.001). Cross-gender comparison revealed key dimorphic patterns: attractive male faces approximate a 90 % zygomatic-mandibular ratio, favoring square/trapezoidal shapes, while attractive female faces cluster around 80 % with greater chin projection.

Irrespective of race background, an appealing male face is characterized by a zygomatic-to-mandibular width ratio nearing 90 %, a low-facial third that is larger than the mid third, contributing to a trapezoidal or square facial shape. The findings contribute valuable insights into attractive standards and the impact of frontal patterns on esthetic canons in male celebrities.