중국 여성의 안면(颜面) 스타일 측정에 관한 사례 연구

Abstract

In recent years, with the rapid development of material and spiritual civilization in modern society, personalized and customized life needs gradually become the trend of the new era. However, because of the low universality of current style diagnosis theory, most people find it difficult to apply it to style evaluation. Based on the qualitative diagnosis theory, this research aims to maximize the accuracy of evaluation-oriented results. This research is accomplished by literature investigation, evaluation index research and case analysis.Firstly, the literature investigation makes use of the prior research and the theory of human aesthetics to grasp the shape and features of face, which becomes the theoretical basis of the new facial style evaluation index.Second, 35 indicators were set through three dimensions: contour, sense of measurement and morphology, and 50 women were surveyed.According to the evaluation results and style classification, 9 virtual faces of different styles were created, and 9 evaluation indexes and characteristics of each style were analyzed in detail. The conclusions of this study are as follows. First, according to the results of the composite image, the more clearly the mandible line turns, and the sharper the inner corner of the eye, the more masculine it gives.The rounder the jawline, the stronger the facial feeling, the rounder the eyes, the more feminine the sense of vision.The more compact or compact the features, the weaker the bones, the smaller the sense of visual presence, the younger the appearance.The proportion of facial features, bone weight, the more balanced the person, gives people the sense of balance and comfort.The more exaggerated features, the more three-dimensional bones people, give a strong visual impact, more mature. Second, the proportion of people with intermediate profile is the highest in profile test. According to the composite image, the features and facial lines of these people are composed of straight lines and curves.