| Presentation | 2023-03-02 A Study on Trendy Style Learning and Recommendation in Digital Makeup System Yoshimi Sato, Nobutaka Kuroki, Masahiro numa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are many makeup products for each part of the face such as cheeks and mouth. However, it is difficult to find the best color coordination before purchase. This paper proposes an AI digital makeup system that realize user’s favorite style. The proposed system recommends makeup image that is closer to the specified style using an image classification CNN learning trendy makeup styles, such as "gal makeup". In the experiments, the proposed system could generate personalized makeup images that reflect the five types of trendy styles. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Digital makeup / CNN / deep learning / face recognition |
| Paper # | PRMU2022-75,IBISML2022-82 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |
| Conference Information | |
| Committee | PRMU / IBISML / IPSJ-CVIM |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Seiichi Uchida(Kyushu Univ.) / Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Takuya Funatomi(NAIST) / Mitsuru Anpai(Denso IT Lab.) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Takuya Funatomi(CyberAgent) / Mitsuru Anpai(Univ. of Tokyo) / Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.) |
| Assistant | Nakamasa Inoue(Tokyo Inst. of Tech.) / Yasutomo Kawanishi(Riken) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Information-Based Induction Sciences and Machine Learning / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Trendy Style Learning and Recommendation in Digital Makeup System |
| Sub Title (in English) | |
| Keyword(1) | Digital makeup |
| Keyword(2) | CNN |
| Keyword(3) | deep learning |
| Keyword(4) | face recognition |
| 1st Author's Name | Yoshimi Sato |
| 1st Author's Affiliation | Kobe University(Kobe Univ.) |
| 2nd Author's Name | Nobutaka Kuroki |
| 2nd Author's Affiliation | Kobe University(Kobe Univ.) |
| 3rd Author's Name | Masahiro numa |
| 3rd Author's Affiliation | Kobe University(Kobe Univ.) |
| Date | 2023-03-02 |
| Paper # | PRMU2022-75,IBISML2022-82 |
| Volume (vol) | vol.122 |
| Number (no) | PRMU-404,IBISML-405 |
| Page | pp.pp.93-96(PRMU), pp.93-96(IBISML), |
| #Pages | 4 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |