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With the change of epoch, the standard of male attractiveness is also changing. Analyzing the trend of facial features changes over time in different environments can reveal the influence of social development on facial attractiveness. In this paper, we propose a method to analyze the trend of facial features of Chinese male. First, a face database with Chinese male of different times is established and rated by raters of different ages. Second, the machine learning method is used to rate face images of different times for verifying the change of male aesthetic. Then, the retrained Inception v3 model is used to realize facial shape classification. After that, the change trend of face shape is analyzed by using massive data. Finally, the change characteristics of the eyebrow are analyzed by calculating the geometric parameters of the eyebrow model, including the area, length, and average width of the eyebrow. Compared with other researches on facial attractiveness, the proposed method can deeply understand the guiding trend of popular culture on facial attractiveness in different times.

Data-Driven Facial Attractiveness of Chinese Male With Epoch Characteristics