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Paper Abstract and Keywords
Presentation 2023-09-12 15:55
Estimation of unmasked face images based on voice and 3DMM
Tetsumaru Akatsuka, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-32
Abstract (in Japanese) (See Japanese page) 
(in English) Facemasks have become common due to the COVID-19 pandemic. They have begun to affect security and identification systems because they cover almost half of the face. Current state-of-the-art methods have been applied to estimate unmasked faces from masked face images. They are successful in improving the quality of the face texture by 3D Morphable Model (3DMM) as intermediate representations. However, their performance in restoring the face shapes is insufficient, and some of generated faces lack identities. In this study, we focus on voice, which has a particularly high correlation with the shape of the mouth and nose, which are obscured by masks. We propose a multimodal method using 3DMM and voice for face shape estimation under masks. Experimental results show that the proposed method qualitatively and quantitatively improves the quality of shape restoration of a face compared to the baseline method without considering voice.
Keyword (in Japanese) (See Japanese page) 
(in English) Mask Removal / Inpainting / 3DMM / Voice Embedding / Multimodal / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 190, AI2023-32, pp. 187-193, Sept. 2023.
Paper # AI2023-32 
Date of Issue 2023-09-05 (AI) 
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 AI2023-32

Conference Information
Committee AI  
Conference Date 2023-09-12 - 2023-09-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2023-09-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of unmasked face images based on voice and 3DMM 
Sub Title (in English)  
Keyword(1) Mask Removal  
Keyword(2) Inpainting  
Keyword(3) 3DMM  
Keyword(4) Voice Embedding  
Keyword(5) Multimodal  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tetsumaru Akatsuka  
1st Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications (UEC)
2nd Author's Name Ryohei Orihara  
2nd Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications (UEC)
3rd Author's Name Yuichi Sei  
3rd Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications (UEC)
4th Author's Name Yasuyuki Tahara  
4th Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications (UEC)
5th Author's Name Akihiko Ohsuga  
5th Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2023-09-12 15:55:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2023-32 
Volume (vol) vol.123 
Number (no) no.190 
Page pp.187-193 
#Pages 7 
Date of Issue 2023-09-05 (AI) 

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