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Paper Abstract and Keywords
Presentation 2014-08-01 09:55
Study of Portrait Similarities in the Automatic System that Generates Portraits from Facial Images
Wu Yuzhen, Makoto Enomoto, Jun Ohya (Waseda Univ) IE2014-22
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies an automatic method that generates portraits by utilizing a neural network trained by facial features obtained by applying Active Shape Model to original face images and by portraits drawn by an illustrator. The authors’ conventional research works had remaining issues such as low subjective similarities of generated portraits, validity of the nose, and absence of subjective evaluation of generated portraits. To increase the subjective similarity, this paper proposes a new portrait depicting tool. We obtain promising feeling that subjective similarity can be improved by the new depicting tool. In addition, we conduct experiments on subjective discrimination of portraits. It turns out that the new tool gives higher subjective discrimination rate than our conventional tool, and that the case of the new tool and presence of the nose gives the highest discrimination rate.
Keyword (in Japanese) (See Japanese page) 
(in English) Portraits / Active Shape Model / Neural Networks / Back-propagation / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 172, IE2014-22, pp. 1-6, Aug. 2014.
Paper # IE2014-22 
Date of Issue 2014-07-25 (IE) 
ISSN Print edition: ISSN 0913-5685    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 IE2014-22

Conference Information
Committee IE ITE-ME IPSJ-AVM ITE-CE  
Conference Date 2014-08-01 - 2014-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2014-08-IE-ME-AVM-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Portrait Similarities in the Automatic System that Generates Portraits from Facial Images 
Sub Title (in English)  
Keyword(1) Portraits  
Keyword(2) Active Shape Model  
Keyword(3) Neural Networks  
Keyword(4) Back-propagation  
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Keyword(6)  
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1st Author's Name Wu Yuzhen  
1st Author's Affiliation Waseda University (Waseda Univ)
2nd Author's Name Makoto Enomoto  
2nd Author's Affiliation Waseda University (Waseda Univ)
3rd Author's Name Jun Ohya  
3rd Author's Affiliation Waseda University (Waseda Univ)
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Speaker Author-1 
Date Time 2014-08-01 09:55:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IE2014-22 
Volume (vol) vol.114 
Number (no) no.172 
Page pp.1-6 
#Pages 6 
Date of Issue 2014-07-25 (IE) 

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