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| Paper Abstract and Keywords | ||
| Presentation | 2023-03-02 10:45 A Study on Trendy Style Learning and Recommendation in Digital Makeup System Yoshimi Sato, Nobutaka Kuroki, Masahiro numa (Kobe Univ.)  PRMU2022-75 IBISML2022-82 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Digital makeup / CNN / deep learning / face recognition / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 404, PRMU2022-75, pp. 93-96, March 2023. | |
| Paper # | PRMU2022-75 | |
| Date of Issue | 2023-02-23 (PRMU, IBISML) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | PRMU2022-75 IBISML2022-82 |
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| Conference Information | |
| Committee | PRMU IBISML IPSJ-CVIM |
| Conference Date | 2023-03-02 - 2023-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2023-03-PRMU-IBISML-CVIM |
| Language | Japanese |
| 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 |
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| 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.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-02 10:45:00 |
| Presentation Time | 10 minutes |
| Registration for | PRMU |
| Paper # | PRMU2022-75, IBISML2022-82 |
| Volume (vol) | vol.122 |
| Number (no) | no.404(PRMU), no.405(IBISML) |
| Page | pp.93-96 |
| #Pages | 4 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |
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