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| Presentation | 2010-03-15 10:30 Gradient Features for Accuracy Improvement of Face Image Verification and Recognition Yushi Komaki, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.)  PRMU2009-244 HIP2009-129 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We proposed a method that describes face appearance using gradient features for appearance based face identification using frontal face images. A person who was registered before is called ``genuine" and a person who was not registered is called ``impostor". Verification is a task which classifies a person in an input image as an insider or an outsider. And the person classified into insider is sent to the recognition process. The recognition is a task which recognizes who the person is. Either proposed gradient features or conventional grayscale features is extracted from frontal face image, the two methods are compared. In the experiment, we use frontal face images taken under three different situations : (1) different facial expression, (2) different illumination, (3) facial appearance change by aging. In verification and recognition, higher performatnce of gradient features is confirmed than grayscale features in all three situations. Equal Error Rate has been reduced from 27.88\% to 15.93\%. Recognition Error Rate has been reduced from 8.99\% to 5.22\%. The reason is that variation of gradient features by variation of facial location in an image, form change of facial parts, and global illumination change is small. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Biometrics / Face Image Identification / Verification / Recognition / Gradient Features / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 470, PRMU2009-244, pp. 67-72, March 2010. | |
| Paper # | PRMU2009-244 | |
| Date of Issue | 2010-03-08 (PRMU, HIP) | |
| 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 | PRMU2009-244 HIP2009-129 |
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| Conference Information | |
| Committee | PRMU HIP |
| Conference Date | 2010-03-15 - 2010-03-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagoshima Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2010-03-PRMU-HIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Gradient Features for Accuracy Improvement of Face Image Verification and Recognition |
| Sub Title (in English) | |
| Keyword(1) | Biometrics |
| Keyword(2) | Face Image Identification |
| Keyword(3) | Verification |
| Keyword(4) | Recognition |
| Keyword(5) | Gradient Features |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yushi Komaki |
| 1st Author's Affiliation | Mie University (Mie Univ.) |
| 2nd Author's Name | Wataru Ohyama |
| 2nd Author's Affiliation | Mie University (Mie Univ.) |
| 3rd Author's Name | Tetsushi Wakabayashi |
| 3rd Author's Affiliation | Mie University (Mie Univ.) |
| 4th Author's Name | Fumitaka Kimura |
| 4th Author's Affiliation | Mie University (Mie Univ.) |
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| Speaker | Author-1 |
| Date Time | 2010-03-15 10:30:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | PRMU2009-244, HIP2009-129 |
| Volume (vol) | vol.109 |
| Number (no) | no.470(PRMU), no.471(HIP) |
| Page | pp.67-72 |
| #Pages | 6 |
| Date of Issue | 2010-03-08 (PRMU, HIP) |
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