通过人工智能对男性名人吸引力标准进行面部面部分析
Ricardo Grillo1, Thiago José Domingues de Andrade2, Luiz Augusto Rodrigues Dos Santos1
1Department of Oral and Maxillofacial Surgery, University of São Paulo School of Dentistry, São Paulo-SP, Brazil.
Journal of stomatology, oral and maxillofacial surgery
|March 12, 2026
概括
人工智能分析了男性名人面孔,揭示了一个普遍的90%的牙与下的吸引力比率. 这种面部图案,以占主导地位的下三分之一为特征,定义了不同种族群体中吸引人的男性形象.
科学领域:
- 美学科学是一种美学科学.
- 面部人类学 面部人类学
- 计算智能是一种计算智能.
背景情况:
- 有名人的面部特征越来越多地塑造了美丽理想.
- 需要对面部吸引力标准进行客观分析.
- 了解面部美学方面的种族差异至关重要.
研究的目的:
- 通过使用人工智能来调查影响男性名人吸引力的面部模式.
- 为了比较不同种族群体的吸引力基准.
- 建立面部配置文件的潜在通用和种族特定标准.
主要方法:
- 一项回顾性队列研究,分析了全球156位男性名人的正面面部面部图案.
- 利用基于Python的算法来评估八个预定义的理想角或比例面部测量.
- 统计分析包括单向ANOVA和非参数独立样本测试 (p<0.05显著性).
主要成果:
- 在所有族群中观察到一个一致的下>上>中间面部第三层次结构 (p<0.001).
- 在全球范围内,腹肌与下的比率保持稳定,约为90%,尽管面部绝对尺寸有所变化 (p<0.001).
- 非洲人在下面面部三分之一表现出最大的形态变异性;面部不对称性在各个种族之间存在显著差异.
结论:
- 一个有吸引力的男性面部形状的特点是,肌肉与下的宽度比例接近90%,以及主导的下面面部三分之一.
- 这些比例有助于形或方形的面部形状,无论种族背景如何,都被认为是有吸引力的.
- 这项研究提供了对美学规范的见解,以及正面面部图案对男性名人的感知吸引力的影响.
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