Zhao Jian, Zhang Meng, He Chen, Zuo Kainan
School of Information Science and Technology, Northwest University, Xi'an, China.
Front Psychol. 2019 Jul 2;10:1466. doi: 10.3389/fpsyg.2019.01466. eCollection 2019.
There is a close relationship between the attractiveness of the face and the facial features. The shape of the facial features determines the level of attractiveness, in which the eyes and eyebrows are particularly vital. In this article, we proposed a method to study the facial attractiveness by combining global face shape and local geometric features of eye and eyebrow and using computer big data analysis for assistance. Firstly, we collected 300 images of East Asian female and use machine learning methods to evaluate the attractiveness scores of face images. Secondly, geometric models were constructed separately for the eyebrows and the eyes to obtain their geometric and shape features. Correlation analysis was performed on the obtained data to study their shape matching of different facial attractiveness rating levels. Finally, the relationship between the shape of face and eyebrows was analyzed by combining the facial ratio and the geometric features of the eyebrows. The research in this article can provide reference for medical and beauty institutions and women's makeup, and further study in the field of facial aesthetic analysis based on geometric features.
面部的吸引力与面部特征之间存在着密切的关系。面部特征的形状决定了吸引力的程度，其中眼睛和眉毛尤为重要。在本文中，我们提出了一种通过结合整体面部形状以及眼睛和眉毛的局部几何特征，并借助计算机大数据分析来研究面部吸引力的方法。首先，我们收集了300张东亚女性的图像，并使用机器学习方法对面部图像的吸引力得分进行评估。其次，分别为眉毛和眼睛构建几何模型以获取它们的几何和形状特征。对所得数据进行相关性分析，以研究不同面部吸引力评级水平下它们的形状匹配情况。最后，通过结合面部比例和眉毛的几何特征来分析面部形状与眉毛之间的关系。本文的研究可为医疗美容机构和女性化妆提供参考，并为基于几何特征的面部美学分析领域的进一步研究提供参考。
