• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1653-1662
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• 2018

Inspired by the increasing popularity of cosmetic-related mobile application as a tool for instant beautification, the present study examined colors of virtual makeup templates and makeup looks. A survey study was performed by thirty-six respondents to determine the top three desirable virtual makeup templates among nineteen templates. The templates of 'Bella', 'Hilary' and 'Cara' were then analyzed by makeup specialists and color experts for the evaluation of their makeup design and colors. Each color feature of three makeup templates were also evaluated through statistical analysis of ANOVA on the measure of $L^*a^*b^*$ crossed with five types of face elements on three types of virtual makeup images. Overall results indicate that Korean female users in their 20s and 30s preferred a similar makeup concept appeared in makeup template and key worlds. They also preferred a pale skin tone with higher lightness and a slightly higher saturated lip color as an emphasis than other features.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.4
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• pp.727-738
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• 2020

The popularity of beauty makeup applications has dramatically increased among young Korean female social media users. The current experimental study examined how the use of beauty makeup applications when taking and posting selfies influences social media users' mood, body satisfaction, and self-esteem. A total of 114 female undergraduate students participated in experiments which included two conditions of taking selfies with and without the use of beauty makeup applications. Participants reported their current mood, and body satisfaction as well as self-esteem before and after experiments. Data were analyzed using repeated measures analysis of variances. The significant interactions between experimental groups and time (pre- and post-test) were found for negative mood, positive mood, and body satisfaction. Participants who took selfies using beauty makeup applications were in a significantly better mood compared to those taking selfies without the use of a beauty makeup application. The level of body satisfaction significantly decreased only for women who took selfies without the use of a beauty makeup application. This study extends the current literature of virtual makeup behavior and body image.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1827-1835
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• 2010

In this paper, facial feature areas in user picture are created by facial feature points extracted by ASM(Active Shape Model). In a existing virtual make-up application, users manually select a few features that are exactly. Users are uncomfortable with this method. We propose a virtual makeup application using ASM that does not require user input. In order to express a natural makeup, the modified alpha blendings for each cosmetic are used to blend skin color with cosmetic color. The Virtual makeup application was implemented to apply Foundation, Blush, Lip Stick, Lip Liner, Eye Pencil, Eye Liner and Eye Shadow.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.459-464
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• 2020

This study is a study that analyzes the user experience of a virtual makeup application in the beauty industry where color or formulation testing is important. Recently, cases of beauty smart stores and beauty applications using AR and AI are increasing. However, since virtual makeup is different from testing a real product, it is necessary to derive needs through research from the user's side. In order to compare user preferences by using AR and AI cases, six factors based on the emotional interface model were analyzed through a questionnaire to identify items with statistically significant figures. As a result, the user felt comfortable with the virtual makeup function, but showed that it needs to be supplemented in terms of reliability. Since this study focused on the customer experience as a real user and identified the main experience factors and needs of virtual makeup through two types of comparison, it is hoped that this study will be useful as a prior study.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.127-133
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• 2021

In this study, an augmented reality-based make-up tool was built to analyze the user's face shape based on face-type reference model data and to provide virtual makeup by providing face-type makeup. To analyze the face shape, first recognize the face from the image captured by the camera, then extract the features of the face contour area and use them as analysis properties. Next, the feature points of the extracted face contour area are normalized to compare with the contour area characteristics of each face reference model data. Face shape is predicted and analyzed using the distance difference between the feature points of the normalized contour area and the feature points of the each face-type reference model data. In augmented reality-based virtual makeup, in the image input from the camera, the face is recognized in real time to extract the features of each area of the face. Through the face-type analysis process, you can check the results of virtual makeup by providing makeup that matches the analyzed face shape. Through the proposed system, We expect cosmetics consumers to check the makeup design that suits them and have a convenient and impact on their decision to purchase cosmetics. It will also help you create an attractive self-image by applying facial makeup to your virtual self.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.2
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• pp.167-173
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• 2002

The VMSS(Virtual Makeup Simulation System) is a virtual simulation system which can apply makeup, hair style, accessory to user's own face image through internee connection. The simulation result can be stored to server side DB and also can be printed out on client side printer. It is implemented using Java so, clients don't need any other client program to run the VMSS except Web browser and Java Plug-in installed on browser. IIS (Internet Information Server) Web server of Window 2000 and MS-SQL 7 are used to develop the overall system. Commercial JDBC Driver Type 4 is used to connect the applet and DB. It suggests a new direction of Web-based contents service development and can be applied to many other areas.

• ETRI Journal
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• v.35 no.6
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• pp.969-979
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• 2013

Various simulation applications for hair, clothing, and makeup of a 3D avatar can provide more useful information to users before they select a hairstyle, clothes, or cosmetics. To enhance their reality, the shapes, textures, and colors of the avatars should be similar to those found in the real world. For a more realistic 3D avatar color reproduction, this paper proposes a spectrum-based color reproduction algorithm and color management process with respect to the implementation of the algorithm. First, a makeup color reproduction model is estimated by analyzing the measured spectral reflectance of the skin samples before and after applying the makeup. To implement the model for a makeup simulation system, the color management process controls all color information of the 3D facial avatar during the 3D scanning, modeling, and rendering stages. During 3D scanning with a multi-camera system, spectrum-based camera calibration and characterization are performed to estimate the spectrum data. During the virtual makeup process, the spectrum data of the 3D facial avatar is modified based on the makeup color reproduction model. Finally, during 3D rendering, the estimated spectrum is converted into RGB data through gamut mapping and display characterization.

• Journal of Korea Multimedia Society
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• v.16 no.4
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• pp.520-528
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• 2013

Makeup simulation is a tool that tests various makeup methods on a virtual digital face using input and display devices. Although several simulation systems supporting various makeup styles have been recently developed, most systems have many limitations on realistic skin representations because they use 2D facial images. We develope a realistic makeup simulation method which can control skin reflectance and roughness parameters. The method allows a user to simulate makeup applications while changing skin parameters using high-resolution facial data acquired by 3D scanners. Besides we use a point-based shape representation which enables simple and flexible 3D rendering, and provide a more realistic makeup simulation by applying different skin parameters on each part of the face.

• Fashion & Textile Research Journal
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• v.25 no.6
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• pp.739-744
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• 2023

With the popularization of 5G networks and the development of AI (artificial intelligence) technology, Metaverse, which creates production capacity by combining virtual space and reality, is attracting attention. In this study, we searched for makeup applications with more than 100 million downloads from October 11, 2020 to November 3, 2020 through the Google Play Store. As a result of the search, four applications were found: YouCam Makeup, YouCam Perfect, Beauty Plus, and Sweet Snap. Based on the functions provided by the four applications, we attempted to suggest makeup functions applicable to Zepeto's avatar. Functions for the eyes (eyeliner, eyelashes, mascara, eye shadow, eye shape, eyebrow shape, lenses, double eyelids), functions for the nose (nose shape), functions for the mouth (lipstick, lip shape, smile function) ) Functions corresponding to the facial contour (contour, skin foundation, blusher, shading, highlighter, face painting, theme makeup) and functions corresponding to the body (body adjustment) were proposed. This study is the first in the beauty field to propose a method of applying the functions of the Metaverse platform as the importance of digital platforms is highlighted, and is the first to propose a makeup function applied to the Metaverse so that it can be used as important basic data in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1859-1866
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• 2015

This paper presents a novel makeup simulation method for powder application. We propose a color appearance model for powder coated skin that is simple but yet capable of producing realistic visual results. From the photos of several artificial skins before and after powder application, the translucency and thickness parameters are achieved by fitting the color model to the photos. Thickness patterns of powder application on actual human face skin is also extracted, and used in makeup simulations on photos of different human face to give more visually appealing results. From experiments, we found that the simulation results are quite realistic, and expect that the proposed makeup simulation can be used as a virtual coloring test in the cosmetic labs.