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Paper Abstract and Keywords
Presentation 2014-03-07 09:20
Study of the Optimal Numbers and Locations of Facial Feature Points in Generating Portraits Using Neural Networks
Guoyong Fang, Makoto Enomoto, Jun Ohya (Waseda Univ) IMQ2013-54 IE2013-163 MVE2013-92
Abstract (in Japanese) (See Japanese page) 
(in English) We study a system that can automatically generate portraits from face images using multi-layered neural networks, for which image features of the face detected by ASM are the inputs, the portrait drawn by an illustrator are teaching signals, and back-propagation algorithms are performed for learning. This system aims at outputting portraits that do not depend on deformations of the line drawing traced from the face image, and captures the drawing style of an individual artist. The number and locations of feature points detected by ASM could affect quality of generated portraits. This paper reports new results that was not clear in our laboratory conventional research. We study the optimal number and locations of the detected facial feature points in generating portraits.
Keyword (in Japanese) (See Japanese page) 
(in English) Portraits / Active Shape Model / Neural Networks / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 470, MVE2013-92, pp. 145-150, March 2014.
Paper # MVE2013-92 
Date of Issue 2014-02-27 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 IMQ2013-54 IE2013-163 MVE2013-92

Conference Information
Committee CQ MVE IE IMQ CEA  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu International Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Five senses media, Food media, Social media, Multimedia, Virtual Environment, Image encoding, Cloud, Mobile, Network, and their quality and reliability,General area 
Paper Information
Registration To MVE 
Conference Code 2014-03-CQ-MVE-IE-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of the Optimal Numbers and Locations of Facial Feature Points in Generating Portraits Using Neural Networks 
Sub Title (in English)  
Keyword(1) Portraits  
Keyword(2) Active Shape Model  
Keyword(3) Neural Networks  
1st Author's Name Guoyong Fang  
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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Date Time 2014-03-07 09:20:00 
Presentation Time 25 
Registration for MVE 
Paper # IEICE-IMQ2013-54,IEICE-IE2013-163,IEICE-MVE2013-92 
Volume (vol) IEICE-113 
Number (no) no.468(IMQ), no.469(IE), no.470(MVE) 
Page pp.145-150 
#Pages IEICE-6 
Date of Issue IEICE-IMQ-2014-02-27,IEICE-IE-2014-02-27,IEICE-MVE-2014-02-27 

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