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| Presentation | 2018-03-18 14:20 A Study of Fast Image Matching Method Under Translation, Scale and Rotation Toru Takahashi, Kengo Makino, Yuta Kudo, Rui Ishiyama (NEC)  BioX2017-42 PRMU2017-178 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper presents a fast pattern matching method which covers image translation, rotation and scaling. Pattern matching methods based on image correlation are employed in the applications which require high identification accuracy such as biometrics, artifact-metrics, etc. Basically, these approaches require repeated correlation calculations in order to correct geometric changes between image pairs that cannot be avoided in taking them. The amount of calculations is too large to identify or authenticate individuals from large-scale database. Addressing this problem, we propose a fast image matching method under translation, scale and rotation. In this paper, the proposed method is applied to individual identification of industrial products. The experimental results show that the proposed method enables us to identify individuals of 11,571 uniformly-painted plates with no error and its processing time of 1 vs 11,571 matching is around 0.83 seconds on a standard desktop computer. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Image Matching / Similarity Transform / Individual Identification / Artifact-metrics / Fingerprint of Things / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 514, PRMU2017-178, pp. 37-42, March 2018. | |
| Paper # | PRMU2017-178 | |
| Date of Issue | 2018-03-11 (BioX, PRMU) | |
| 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 | BioX2017-42 PRMU2017-178 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2018-03-18 - 2018-03-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2018-03-PRMU-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Fast Image Matching Method Under Translation, Scale and Rotation |
| Sub Title (in English) | |
| Keyword(1) | Image Matching |
| Keyword(2) | Similarity Transform |
| Keyword(3) | Individual Identification |
| Keyword(4) | Artifact-metrics |
| Keyword(5) | Fingerprint of Things |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Toru Takahashi |
| 1st Author's Affiliation | NEC Corporation (NEC) |
| 2nd Author's Name | Kengo Makino |
| 2nd Author's Affiliation | NEC Corporation (NEC) |
| 3rd Author's Name | Yuta Kudo |
| 3rd Author's Affiliation | NEC Corporation (NEC) |
| 4th Author's Name | Rui Ishiyama |
| 4th Author's Affiliation | NEC Corporation (NEC) |
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| Speaker | Author-1 |
| Date Time | 2018-03-18 14:20:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | BioX2017-42, PRMU2017-178 |
| Volume (vol) | vol.117 |
| Number (no) | no.513(BioX), no.514(PRMU) |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |
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