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| Presentation | 2007-05-25 09:30 3D object recognition for learning data minimization and high-speed processing Masayuki Kimura (Nagoya Institute of Technology), Toshiyuki Amano (NAIST), Toru Tamaki (Hiroshima University), Taizo Umezaki (Nagoya Institute of Technology)  PRMU2007-16 MI2007-16 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, a method to recognize 3-D object in parallel is proposed as the improvement of the EbC method that is a parameter estimation solution such as posture of the 3-D objects. The proposed method can realize high-speed object recognition with maintaining small learning data to compares an unknown object image with two image vectors, called EbC image pairs, provided every object by learning. In other words, the proposed method uses the property that projection points of target images are corresponding to circular edge of a plane that generated by EbC image Pair. In recognition experiment, recognition performance of proposed method was verified using COIL-20. Moreover, the effectiveness of the proposal method was considered from comparison with the recognition result in the CLAFIC method that is the method known well conventionally. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | EbC-Method / EbC Image Pairs / Parametric Eigenspace Method / Gram-Schmidt orthonormalization / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 107, no. 57, PRMU2007-16, pp. 85-89, May 2007. | |
| Paper # | PRMU2007-16 | |
| Date of Issue | 2007-05-17 (PRMU, MI) | |
| 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 | PRMU2007-16 MI2007-16 |
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| Conference Information | |
| Committee | PRMU MI |
| Conference Date | 2007-05-24 - 2007-05-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Mie Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2007-05-PRMU-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | 3D object recognition for learning data minimization and high-speed processing |
| Sub Title (in English) | |
| Keyword(1) | EbC-Method |
| Keyword(2) | EbC Image Pairs |
| Keyword(3) | Parametric Eigenspace Method |
| Keyword(4) | Gram-Schmidt orthonormalization |
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| 1st Author's Name | Masayuki Kimura |
| 1st Author's Affiliation | Nagoya Institute of Technology (Nagoya Institute of Technology) |
| 2nd Author's Name | Toshiyuki Amano |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Toru Tamaki |
| 3rd Author's Affiliation | Hiroshima University (Hiroshima University) |
| 4th Author's Name | Taizo Umezaki |
| 4th Author's Affiliation | Nagoya Institute of Technology (Nagoya Institute of Technology) |
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| Speaker | Author-1 |
| Date Time | 2007-05-25 09:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2007-16, MI2007-16 |
| Volume (vol) | vol.107 |
| Number (no) | no.57(PRMU), no.58(MI) |
| Page | pp.85-89 |
| #Pages | 5 |
| Date of Issue | 2007-05-17 (PRMU, MI) |
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