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| Presentation | 2012-01-19 11:10 Local Feature Transform with RCA and Application to general object recognition for life support Tomoki Nishimura, Haiyuan Wu, Hirokazu Taki, Hirokazu Miura (Wakayama Univ.)  PRMU2011-154 MVE2011-63 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose a method for transforming local feature using relevant component analysis (RCA). Our method analyzes the distribution of E-SIFT local features provided from a training image set, and makes the difference of visual word clear by adjusting distance between local features that followed the density of the distribution. In this paper, we do mind an application to life supporting system. This method’s effectiveness was confirmed through several comparison experiments using common database of everyday life article. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Generic object recognition / detection of feature vector / SIFT feature vector / relevant component analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 379, PRMU2011-154, pp. 79-84, Jan. 2012. | |
| Paper # | PRMU2011-154 | |
| Date of Issue | 2012-01-12 (PRMU, MVE) | |
| 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 | PRMU2011-154 MVE2011-63 |
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| Conference Information | |
| Committee | PRMU MVE CQ IPSJ-CVIM |
| Conference Date | 2012-01-19 - 2012-01-20 |
| 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 | 2012-01-PRMU-MVE-CQ-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Local Feature Transform with RCA and Application to general object recognition for life support |
| Sub Title (in English) | |
| Keyword(1) | Generic object recognition |
| Keyword(2) | detection of feature vector |
| Keyword(3) | SIFT feature vector |
| Keyword(4) | relevant component analysis |
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| 1st Author's Name | Tomoki Nishimura |
| 1st Author's Affiliation | Wakayama University (Wakayama Univ.) |
| 2nd Author's Name | Haiyuan Wu |
| 2nd Author's Affiliation | Wakayama University (Wakayama Univ.) |
| 3rd Author's Name | Hirokazu Taki |
| 3rd Author's Affiliation | Wakayama University (Wakayama Univ.) |
| 4th Author's Name | Hirokazu Miura |
| 4th Author's Affiliation | Wakayama University (Wakayama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2012-01-19 11:10:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2011-154, MVE2011-63 |
| Volume (vol) | vol.111 |
| Number (no) | no.379(PRMU), no.380(MVE) |
| Page | pp.79-84 |
| #Pages | 6 |
| Date of Issue | 2012-01-12 (PRMU, MVE) |
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