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通过人工智能对女性名人吸引力标准的正面面部分析。

Frontal facial analysis of female celebrity attractiveness standards through artificial intelligence.

机构信息

Department of Oral and Maxillofacial Surgery, University of São Paulo School of Dentistry, São Paulo, SP, Brazil; Department of Oral and Maxillofacial Surgery, Brasília-DF, Brazil.

Private Practice in Oral and Maxillofacial Surgery, São Paulo, SP, Brazil.

出版信息

J Craniomaxillofac Surg. 2024 Jun;52(6):722-726. doi: 10.1016/j.jcms.2024.03.023. Epub 2024 Mar 24.

Abstract

The contemporary significance of celebrities' facial aesthetics underscores their heightened importance in shaping attractiveness standards. This retrospective study aimed to investigate the impact of patterns on aesthetic canons in the profile views of female celebrities, using artificial intelligence. The study sought to compare different races and propose standards for attractive faces. In this retrospective cohort study, a Python-based algorithm was used to analyze frontal patterns and evaluate their influence on aesthetic norms in publicly accessible images of female global celebrities. Ten ideal angular or proportional measures were gathered from the literature, and were trained to serve as a benchmark for the analysis of facial attractiveness. Demographic characteristics were described statistically. A one-way ANOVA test was employed to assess data distribution. Differences in means between groups were evaluated using nonparametric independent-sample tests, with statistical significance set at < 0.05. The study involved facial analyses for 115 female celebrities. It revealed variations in facial features among races. The mean golden ratio differed, with African and Asian individuals showing lower ratios. Symmetry varied, with Latin and Caucasian faces considered the most symmetrical. The zygomatic-to-mandibular width ratio was similar across races, with a ratio close to 80% being associated with more attractive faces. Differences in nose-to-mouth ratio, lips, alar base width, and chin angle were noted among race groups. The study concluded that, regardless of race, an attractive female face is characterized by specific ratios and angles. Facial symmetry, though desirable, is not strictly necessary. Irrespective of race background, an appealing female face is characterized by a zygomatic-to-mandibular width ratio nearing 80%, a mid-facial third that is slightly larger than the lower third, and a distinctive chin angle of approximately 138°, contributing to a trapezoidal facial shape. The findings contribute valuable insights into attractiveness standards and the impact of frontal patterns on aesthetic canons in female celebrities.

摘要

当代名人的面部美学意义强调了他们在塑造吸引力标准方面的重要性。本回顾性研究旨在使用人工智能探讨女性名人侧面像的图案对审美标准的影响。该研究旨在比较不同种族,并提出有吸引力的面部标准。在这项回顾性队列研究中,使用基于 Python 的算法分析了正面图案,并评估了它们对公开获取的全球女性名人图像中审美标准的影响。从文献中收集了十个理想的角度或比例测量值,并将其训练为分析面部吸引力的基准。对人口统计学特征进行了统计描述。采用单向方差分析检验评估数据分布。使用非参数独立样本检验评估组间均值差异,以<0.05 为统计学显著性水平。该研究涉及 115 位女性名人的面部分析。结果显示,不同种族之间存在面部特征的差异。平均黄金比例存在差异,非洲和亚洲个体的比例较低。对称性存在差异,拉丁和白种人脸被认为最对称。颧骨到下颌宽度比在不同种族之间相似,接近 80%的比例与更吸引人的面孔相关。不同种族之间存在鼻唇角、嘴唇、鼻翼基底宽度和下巴角度的差异。研究得出结论,无论种族如何,有吸引力的女性面部特征具有特定的比例和角度。面部对称性虽然理想,但并非严格必要。无论种族背景如何,吸引人的女性面部特征包括接近 80%的颧骨到下颌宽度比、中面部比下面部略大以及约 138°的独特下巴角度,形成梯形面部形状。这些发现为吸引力标准以及正面图案对女性名人审美标准的影响提供了有价值的见解。

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