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| Presentation | 2019-10-04 14:25 Tongue detection from facial photographs using deep learning Qichao Tang, Tingxiao Yang, Yuichiro Yoshimura, Takao Namiki, Toshiya Nakaguchi (Chiba Univ.)  IMQ2019-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The tongue, also known as the mirror of whole body, reflects state of whole body and presents various changes. In the future, through unconscious observation of tongue in daily life, health monitoring and preventive medicine can be realized. As a key technology, the tongue with arbitrary exposure should be detected with high precision. Therefore, this study uses deep learning technology to automatically detect tongue (tongue extension) from face photos, detect whether tongue is protruded from face photos in the front processing, and extract protruded tongue shape in the back processing. The proposed method achieves high-precision tongue detection and tongue shape extraction. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Tongue detection / Tongue shape extraction / Deep Learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 215, IMQ2019-7, pp. 11-18, Oct. 2019. | |
| Paper # | IMQ2019-7 | |
| Date of Issue | 2019-09-27 (IMQ) | |
| 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 | IMQ2019-7 |
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| Conference Information | |
| Committee | IMQ |
| Conference Date | 2019-10-04 - 2019-10-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IMQ |
| Conference Code | 2019-10-IMQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Tongue detection from facial photographs using deep learning |
| Sub Title (in English) | |
| Keyword(1) | Tongue detection |
| Keyword(2) | Tongue shape extraction |
| Keyword(3) | Deep Learning |
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| 1st Author's Name | Qichao Tang |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Tingxiao Yang |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Yuichiro Yoshimura |
| 3rd Author's Affiliation | Chiba University (Chiba Univ.) |
| 4th Author's Name | Takao Namiki |
| 4th Author's Affiliation | Chiba University (Chiba Univ.) |
| 5th Author's Name | Toshiya Nakaguchi |
| 5th Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-10-04 14:25:00 |
| Presentation Time | 25 minutes |
| Registration for | IMQ |
| Paper # | IMQ2019-7 |
| Volume (vol) | vol.119 |
| Number (no) | no.215 |
| Page | pp.11-18 |
| #Pages | 8 |
| Date of Issue | 2019-09-27 (IMQ) |
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