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 |
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) |
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PRMU2020-36 |
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) |
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Plastic Surgery |
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Convolutional Neural Network |
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Image Recognition |
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Visualization |
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1st Author's Name |
Tomoya Kitamura |
1st Author's Affiliation |
Wakayama University (Wakayama Univ.) |
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Toshinobu Harada |
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Wakayama University (Wakayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-10-10 10:45:00 |
Presentation Time |
15 minutes |
Registration for |
PRMU |
Paper # |
PRMU2020-36 |
Volume (vol) |
vol.120 |
Number (no) |
no.187 |
Page |
pp.110-115 |
#Pages |
6 |
Date of Issue |
2020-10-02 (PRMU) |
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