Abstract
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.
Highlights
Beauty has always been the center of countless topics
In order to study the relationship between the shape of face and eyebrow, we used the facial transverse/longitudinal ratio D1/D2 shown in Figure 8 to represent the difference in face shape
The 300 facial attractiveness scores obtained by machine learning method are: 92 images in the range of 2–3 scores, 146 images
Summary
Beauty has always been the center of countless topics. Maslow believes that human beings always have a yearning for beauty. Researchers have overturned the long-held argument that beauty is subjective, and a great number of experiments have discovered that there is a high extent of agreement between what faces are beautiful, which is highly consistent with culture, race, age, gender (Langlois et al, 2000; Aarabi et al, 2001; Koscinski, 2009). This consistency can lead us to believe that the perception of facial attractiveness is data-driven (Etcoff, 1994). If we can grasp the rule of the attractiveness of the face, it will be of great application value, such as beauty salons
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