通过人工智能对女性名人吸引力标准进行面部面部分析
Ricardo Grillo1, Bruno Alvarez Quinta Reis2, Bernardo Correia Lima3
1Department 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.
概括
人工智能分析名人脸部,以确定美容标准. 关键的发现表明,特定的面部比率,比如近80%的斜与下宽度比率,对于所有种族的吸引力至关重要.
科学领域:
- 美学科学是一种美学科学.
- 计算机视觉 计算机视觉 计算机视觉
- 人类测量学 人类测量学.
背景情况:
- 有名人的面部美学显著影响社会的美容标准.
- 了解这些标准需要对面部特征进行客观分析.
研究的目的:
- 用人工智能调查面部图案对女性名人的美学规范的影响.
- 为了比较面部吸引力的种族差异,并提出普遍标准.
主要方法:
- 一项回顾性队列研究使用基于Python的算法分析了115名女性名人的正面面部面部图案.
- 十个理想的角和比例尺度被用作吸引力分析的基准.
- 统计分析包括单向ANOVA和非参数独立样本测试.
主要成果:
- 面部特征和美学指标,如黄金比例,在不同种族 (非洲人,亚洲人,拉丁人,高加索人) 之间有很大的差异.
- 面部对称性在拉丁人和高加索人群中最高,尽管这对于吸引力来说并不严格必要.
- 斜与下的宽度比例接近80%,中面三分之一比下面三分之一大,下巴角约138°与不同种族的有吸引力的面孔有关.
结论:
- 吸引人的女性面孔具有特定的比例和角度,不论种族.
- 吸引力的关键指标包括近80%的斜与下宽度比和形的面部形状.
- 该研究提供了对人工智能驱动的审美规范和美容标准的分析的见解.
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