TY - GEN
T1 - An automatic virtual makeup scheme based on personal color analysis
AU - Park, Jisoo
AU - Kim, Hyungjoon
AU - Ji, Seonmi
AU - Hwang, Eenjun
N1 - Funding Information:
This work was supported by Business for Cooperative R&D between Industry, Academy, and Research Institute funded by Korea Small and Medium Business Administration (Grants No. CH465913) in 2017 and Inst. for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. R0190-16-2012, High Performance Big Data Analytics Platform Performance Acceleration Technologies Development).
Publisher Copyright:
© 2018 ACM.
PY - 2018/1/5
Y1 - 2018/1/5
N2 - With people's timeless interest in beauty and the recent development of IT technologies, there has been a growing demand for a system that can suggest appropriate cosmetics or fashion styles to each individual. So far, professionals have made such suggestion subjectively or depending on personal experience, which produced inconsistent results. One possible method to do this objectively and systematically would be to utilize the personal color of an individual. Personal color, also known as skin tone color matching is the process of finding colors of clothing and makeup to match a person's skin complexion, eye color, and hair color. In this paper, we propose a scheme for automatically generating virtual makeup based on personal color. To do that, we first identify user's personal color from the image by analyzing the color of pupils, hair, and skin, and then select cosmetic method and colors. Lastly, by looking up the predefined makeup database for foundation, blush, lipstick, eyeline, and eyeshadow, we produce a virtual makeup on the user's face image.
AB - With people's timeless interest in beauty and the recent development of IT technologies, there has been a growing demand for a system that can suggest appropriate cosmetics or fashion styles to each individual. So far, professionals have made such suggestion subjectively or depending on personal experience, which produced inconsistent results. One possible method to do this objectively and systematically would be to utilize the personal color of an individual. Personal color, also known as skin tone color matching is the process of finding colors of clothing and makeup to match a person's skin complexion, eye color, and hair color. In this paper, we propose a scheme for automatically generating virtual makeup based on personal color. To do that, we first identify user's personal color from the image by analyzing the color of pupils, hair, and skin, and then select cosmetic method and colors. Lastly, by looking up the predefined makeup database for foundation, blush, lipstick, eyeline, and eyeshadow, we produce a virtual makeup on the user's face image.
KW - Makeup support
KW - Personal color
KW - Personal color analysis
KW - Virtual makeup
UR - http://www.scopus.com/inward/record.url?scp=85048438512&partnerID=8YFLogxK
U2 - 10.1145/3164541.3164612
DO - 10.1145/3164541.3164612
M3 - Conference contribution
AN - SCOPUS:85048438512
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
PB - Association for Computing Machinery
T2 - 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
Y2 - 5 January 2018 through 7 January 2018
ER -