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Paper Abstract and Keywords
Presentation 2020-10-10 10:45
Characteristic Analyses of External Nose and Philtrum of Japanese Male and Female by Using Convolutional Neural Network
Tomoya Kitamura, Toshinobu Harada (Wakayama Univ.) PRMU2020-36
Abstract (in Japanese) (See Japanese page) 
(in English) Plastic surgery reconstruct to match the facial shapes of patients with gender identity disorder to gender identity. In the surgery, it is important to have cosmetic aspect that looks like natural as male or female. However, few studies focused on the shape characteristics of each part of the face (eyes, nose, mouth, cheeks, philtrum, etc.). Therefore, we considered characteristics of external nose and philtrum of male and female could be analyzed by using deep learning and image recognition technology, developed a system to visualize the judgement and characteristic parts of male and female’s external nose and philtrum. As a result, we clarified gender can be estimated from the tip of the nose and the root of the nose.
Keyword (in Japanese) (See Japanese page) 
(in English) Plastic Surgery / Convolutional Neural Network / Image Recognition / Visualization / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 187, PRMU2020-36, pp. 110-115, Oct. 2020.
Paper # PRMU2020-36 
Date of Issue 2020-10-02 (PRMU) 
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)
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Conference Information
Committee PRMU  
Conference Date 2020-10-09 - 2020-10-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Recognition and understating of human 
Paper Information
Registration To PRMU 
Conference Code 2020-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Characteristic Analyses of External Nose and Philtrum of Japanese Male and Female by Using Convolutional Neural Network 
Sub Title (in English)  
Keyword(1) Plastic Surgery  
Keyword(2) Convolutional Neural Network  
Keyword(3) Image Recognition  
Keyword(4) Visualization  
1st Author's Name Tomoya Kitamura  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Toshinobu Harada  
2nd Author's Affiliation Wakayama University (Wakayama Univ.)
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Date Time 2020-10-10 10:45:00 
Presentation Time 15 
Registration for PRMU 
Paper # IEICE-PRMU2020-36 
Volume (vol) IEICE-120 
Number (no) no.187 
Page pp.110-115 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2020-10-02 

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