Makeup Creativity Enhancement with an Augmented Reality Face Makeup System

Author:

Treepong Bantita1,Mitake Hironori1,Hasegawa Shoichi1

Affiliation:

1. Tokyo Institute of Technology, Department of Information and Communication Engineering

Abstract

This study presents a novel interactive face makeup system that aims to support users to improve makeup creativity. In this system, facial feature points were tracked by Kinect and mapped to the 3D face model. The makeup tools were developed for providing a tangible interaction. A face painting application was developed based on the Unity 3D framework. While users apply makeup, the program will generate color on the model, which synchronizes with the user's movement. The results will be mapped to the user's face in real time by using a projection mapping technique that allows users to see which color is suitable for their skin tone. Users can perceive a realistic makeup feeling from our touch detectable makeup tools. Moreover, by using a computer-based drawing system, users can undo, save, and load their makeup image and compare with other styles. A subjective evaluation was conducted to evaluate the users’ satisfaction. The results indicated that by using this system, users can find a suitable makeup style for themselves and get help increasing their makeup creativity.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications

Reference15 articles.

1. Hidden in Makeup Women's Statistics. 2017. Retrieved from http://hiddeninmakeup.weebly.com/statistics.html. Hidden in Makeup Women's Statistics. 2017. Retrieved from http://hiddeninmakeup.weebly.com/statistics.html.

2. Abigail Chandler. 2016. 14 struggles all women who hate make-up face. Retrieved from http://metro.co.uk/2016/03/04/page/4. Abigail Chandler. 2016. 14 struggles all women who hate make-up face. Retrieved from http://metro.co.uk/2016/03/04/page/4.

3. Augmented Rendering of Makeup Features in a Smart Interactive Mirror System for Decision Support in Cosmetic Products Selection

4. Digital anti-aging in face images

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3