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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
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

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 
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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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