This study aims to investigate makeup images shown in the beauty trends and analyzes the characteristics of makeup colors depending on the types of facial makeup. This survey's collected data includes a total of 365 makeup colors which have been shown in the beauty trends for the last three years. The pictures and vocabularies shown in such data were analyzed and thus we could have classificatorily six kinds of makeup images. In addition, makeup colors were divided into two subcategories: eye makeup and lip makeup, both of which have the most significant impact on the makeup images. As the results, the types of makeup images shown at beauty trends were classified such as natural image, gorgeous image, elegant image, sophisticate image, and romantic image. If analyzing yearly changes, active, romantic, and elegant images were common in 2008, and natural image displayed a certain strong tendency amid pro-environmental trends in 2009, and gorgeous images were appeared apparently in 2010, while natural image showed a bullish tendency yet. Regarding to color characteristics by makeup images shown at beauty trends, YR color in eye makeup and R in lip makeup looked bullish generally, and a lot of changes were shown in color tones. This fact gives help in grasping fashion colors and color tones of yearly makeups. Based on these results, this study examines makeup colors for expressing makeup images closely, and then suggests that it could be utilized in makeup color planning.
The purpose of this study was to examine interactive effect of wedding makeup, head dress, and perceiver's culture on bride's image perception. Image analysis was carried out by 10 photos which was designed for brides in their twenties with different makeup and head dress. Subjects were female university students in Seoul, Korea and 100 black female university students in Delaware, U.S. The result of study was as follows. Image perception by bride's makeup and head dress was classified as five dimensions: 'distinctive', 'tidy', 'elegant', 'soft', and 'beautiful'. There was a significant difference in image perception from culture and head dress. The result of interactive effect due to culture and makeup showed that Korean students perceived pink makeup as close to more elegant image, and American students felt orange makeup. We can know through above contents that there was significant difference in image perception by makeup and head dress between Korean and American students. Also, American students in general evaluated the photos (stimulus) presented positively compared to Korean students. This can be interpreted as a meaning that the degree to perceive each photos of American students was lower than Korean students.
This study was made to investigate the differences in Korean woman's perceived makeup image and self-consciousness according to their expectation level in socio-psychological effect of makeup, and to gather information needed for the better understanding of cosmetics consumers and more effective marketing activities of cosmetics industries. Normative-descriptive survey method using questionnaire was employed for the present study. The survey was conducted in August 2001 and the sample consisted of 942 women between the ages of 18 and 50 residing in Seoul and Kyungi province. Data were analyzed by SPSS package. Factor analysis, ANOVA, and MANOVA were employed for the analysis of the data. The results are as follows : (1) Six factors emerged from the data related to the category of expected socio-psychological effect of makeup. Those factors were named as "increasing positiveness", "refreshment", "covering weakness", "self-expression", "consideration for others", and "the tool for self-change". Four factors were found in the category of makeup image, and the factors were named as "refinement", "nobility", "favorable impression ", and "personality ". (2) There was a tendency that those who highly expect the socio-psychological effect of makeup have more positive self-image. Considering this differences in self-image according to the level of expected socio-psychological effect of makeup. service activities for the consumers' positive opinion and attitude to the effect of makeup are needed, and it seems that those service activities will have a good influence on the consumers' emotional health. (3) Subjects with higher level of social anxiety showed higher expectations in refreshment, covering weakness and self-expression. Considering this trend, marketers have to make an constant effort for the variety of cosmetics and makeup manner by which consumers satisfy their expectation in makeup. It seems that the satisfaction of their expectation on the help of makeup effect will contribute to lessen social anxiety, and to get emotional stability. (4) Subjects with higher personal self-anxiety showed higher expectations of the effect. "increase of positiveness". Therefore, if the product advertisement imply the content of increasing positiveness effect of makeup, it might appeal more easily to their consumers.imply the content of increasing positiveness effect of makeup, it might appeal more easily to their consumers.
Journal of the Korea Fashion and Costume Design Association
/
v.18
no.1
/
pp.1-10
/
2016
The purpose of this study was to examine the influence of elderly women's makeup behavior, psychological traits and demographic variables on their preference for makeup images in daily life(hereinafter called general makeup image) and for the makeup images of their own future funeral portraits. As for the method of research, a research study was implemented by using the questionnaire method. Seven factors were selected for makeup behavior: fashionability, conformity, subjectivity, instrumentality, interpersonal orientation and conspicuousness. The selected psychological traits were personality, death attitude and depression. Preference for general makeup image and for the makeup image of funeral portrait were investigated in terms of four: agreeableness, refinement, individuality and dignity. The subjects in this study were 651 female elderly residents in and around Seoul who were in their 60s to 80s. Concerning data analysis, factor analysis, Cronbach alpha coefficient, Pearson productmoment correlation coefficient, t-test, one-way ANOVA, Duncan's multiple range test and multiple regression analysis were utilized. Concerning the influence of the elderly women's makeup behavior, personality, death attitude, depression and demographic variables on preference for the makeup image of funeral portrait, their preference for an agreeable makeup image was analyzed. Thus, makeup behavior, personality, death attitude and depression were identified as the variables to exert a significant influence on preference for the makeup images of funeral portrait. The findings of the study are expected to help make makeup for funeral portrait entrenched as a part of the beauty industry and to make a contribution to the development of the beauty industry.
Makeup is the most common way to improve a person's appearance. However, since makeup styles are very diverse, there are many time and cost problems for an individual to apply makeup directly to himself/herself.. Accordingly, the need for makeup automation is increasing. Makeup transfer is being studied for makeup automation. Makeup transfer is a field of applying makeup style to a face image without makeup. Makeup transfer can be divided into a traditional image processing-based method and a deep learning-based method. In particular, in deep learning-based methods, many studies based on Generative Adversarial Networks have been performed. However, both methods have disadvantages in that the resulting image is unnatural, the result of makeup conversion is not clear, and it is smeared or heavily influenced by the makeup style face image. In order to express the clear boundary of makeup and to alleviate the influence of makeup style facial images, this study divides the makeup area and calculates the loss function using HoG (Histogram of Gradient). HoG is a method of extracting image features through the size and directionality of edges present in the image. Through this, we propose a makeup transfer network that performs robust learning on edges.By comparing the image generated through the proposed model with the image generated through BeautyGAN used as the base model, it was confirmed that the performance of the model proposed in this study was superior, and the method of using facial information that can be additionally presented as a future study.
This objectives of this research was to look into the actual state of fashion wearing purchase and makeup purchase to recognize the interrelationship between fashion and makeup styles by selecting words used for fashion image and cosmetic style. Such study can offer basic materials for choice of makeup style by each fashion style. Most information on fashion and cosmetics were obtained through the internet. However, a lot of information on cosmetics were also obtained through TV. Therefore, if fashion companies use both internet and TV for advertising, more effect on purchasing might be obtained. The design and color are important standards for selecting clothes. However, the quality and price of clothes are essential standards for purchasing cosmetics. Therefore, for fashion companies, they need to pay more attention to design and color. However, for cosmetic companies, they need to take notice of quality and price. When image words were extracted, fashion images showed the following words: natural, romantic, elegance, casual, and avant-garde, while makeup images showed romantic-casual, elegance, avant-garde, and natural. Regarding the interrelationship between fashion style and makeup style, natural and casual fashion style were harmonized with natural makeup while romantic fashion style was associated with romantic makeup. The fashion style of elegance and avant- garde was associated with elegance makeup. Therefore, similar images were found between fashion and makeup styles.
This study is designed to find women's makeup color preferences according to their pursuing clothing image and clothing behavior. Subjects were 515 women. from 18 years to 40 years old, who are interested in color makeup and use various products. The SPSS statistical program was used for analyzing the demonstrative results of questionnaire survey. The results of this study are as follows : 1. According to color makeup preference by the pursuing image in clothing. those groups who want to have conservative and neat image and who prefer feminine and intellectual image showed the preference of brown lipsticks and eye-shadows, while groups who want to have vivid image preferred orange lipsticks and pink eye-shadows. 2. In the case of casuals, all groups preferred pink eye-shadows and lipsticks. While those groups who want to have intellectual image preferred brown lines after pint groups who want to have sexy and vivid image preferred orange and red lipsticks and blue and green eye- shadows. 3. In preference comparison of color makeup by clothing behavior, those groups who attach practicality, symbol for social status. and social acknowledgment preferred red and brown lipsticks, and brown eye-shadows. 4. In the case of wearing casuals, all groups liked pink eye-shadows and lipsticks the best. whereas the group who want to have social acknowledgment Preferred beige lipsticks and brown eye-shadows.
Simulating color appearance of makeup effect is an important issue in computer graphics as well as cosmetic industry. Most of previous works on makeup simulation are simple color blending to mimic the cosmetic effects. Some of previous works employed Kubelka-Munk model to accurately simulate the layering effect of cosmetics. However, the simulation limited on single point, and the rest of area are still computed by simple color blending utilizing the color of the single point simulation. This paper presents an image-based method to compute the color appearance effect of makeup application using per-pixel Kubelka-Munk model. Unlike the previous methods, it is possible to compute per-pixel application thickness as well as optical property of cosmetics. The computed thickness pattern can be used in makeup simulation for a more realistic makeup simulation.
Ethnic fashion and makeup were studied. 264 fashion designs from pret-$\`{a}$-porter collections in Milan and New York from 2001 S/S to 2005 F/W were analyzed. The major conclusions of the study are as the following: 1. The major types of ethnic fashion and makeup were Africa. American Indian. Japan, India. China and Inca. Makeup types expressed in ethnic fashion were soft smoky, smoky, retro, nature, avant-garde, eastern. 2. Makeup types expressed in ethnic fashion were used for the image for the designer's collections rather than ethnic features. Soft smoky and smoky makeup types were more used than others. 3. Soft smoky makeup types were more expressed in S/S seasons than in F/W seasons. In F/W seasons soft smoky and smoky makeup types were more expressed than other types. 4. Soft smoky and smoky makeup types were more expressed than others in Milan and New York collections commonly. 5. To emphasize the ethnic image for ethnic fashion, ethnic makeup arts like China, Japan, India, Africa, American Indian, Inca makeup arts and soft smoky, smoky makeup arts were represented.
As modern society leads to distinguished, sensuous, and diversity styles, a woman who enjoys putting on Garu makeup appeared on a popular TV talk show in winter 2010, which aroused public interest in the method of Garu makeup. However, as interest in Garu makeup and individuals who put on Garu makeup spread, some began to consider Garu makeup as the imitation of indiscreet Japanese culture or a vulgar culture. Thus the purposes of this study is to understand the characteristics of Garu makeup and its forms of expression by considering its type, origin and style. In turn, this study will provide basic data for the makeup trend and act as an aid to improve the image of Garu makeup through investigating its image and preference. To accomplish this purpose, this study reviewed relevant literatures and web resources, conducted a survey of students who study beauty art at two-year junior colleges in Seoul, and analyzed 195 answers by using SPSS 18.0. The results are as follows: It was proved that in the preliminary inspection of comprehension, 98.3% of college students majoring in beauty art had known Garu makeup, 53% understood somewhat the characteristic and concept of Garu makeup, 36.8% gave preference to Garu makeup. It was proved that in the investigation by the image of Garu makeup, as over 70% of students thought that Ogaru and Yamamba makeup were detestable, but other Garus were lovely and sexy, students perceived as a diversity of images by their own preferences and tastes, and 73% of respondents selected Onegaru as Garu makeup that they gave preference to and wanted to put on. The result of this study represents that mass consumers in the existing culture, who are college students majoring in beauty art and selected as a sample group in this study, reflect the stream of culture and trend, but also demassification, mass customization by their areas of interests and preferences and connective massification of individuals with similar interests.
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