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| Presentation | 2009-11-27 10:00 A study on image based estimation of position and direction in urban environments using SIFT algorithm Satoshi Ueno, Masayuki Hashimoto, Akio Yoneyama, Ryoichi Kawada (KDDI R&D Labs.)  PRMU2009-111 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose a support system for navigation to improve estimation of users’ position and direction by image-based retrival based on SIFT algorithm. Navigation services to guide users using position data with GPS are being spread, but higher accuracy of users’ position and direction in urban environments is required. In order to solve this problem, it is effective to match users’ images to streetscape images that were captured before and have position data. However, image matching often does not succeed because of large image intervals or poor quality. Therefore, in this study we propose a method that extract correct corresponding points from streetscape images. It chooses some corresponding points for each local feature and then select the most appropriate point from these points based on weak geometrical constraint. Experimental results show that the method improves the matching accuracy for estimating users’ position and direction. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | image retrieval / SIFT / estimation of position / estimation of direction / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 306, PRMU2009-111, pp. 127-132, Nov. 2009. | |
| Paper # | PRMU2009-111 | |
| Date of Issue | 2009-11-19 (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 | PRMU2009-111 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2009-11-26 - 2009-11-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ishikawa Industrial Promotion Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2009-11-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on image based estimation of position and direction in urban environments using SIFT algorithm |
| Sub Title (in English) | |
| Keyword(1) | image retrieval |
| Keyword(2) | SIFT |
| Keyword(3) | estimation of position |
| Keyword(4) | estimation of direction |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Satoshi Ueno |
| 1st Author's Affiliation | KDDI R&D Laboratories Inc. (KDDI R&D Labs.) |
| 2nd Author's Name | Masayuki Hashimoto |
| 2nd Author's Affiliation | KDDI R&D Laboratories Inc. (KDDI R&D Labs.) |
| 3rd Author's Name | Akio Yoneyama |
| 3rd Author's Affiliation | KDDI R&D Laboratories Inc. (KDDI R&D Labs.) |
| 4th Author's Name | Ryoichi Kawada |
| 4th Author's Affiliation | KDDI R&D Laboratories Inc. (KDDI R&D Labs.) |
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| Speaker | Author-1 |
| Date Time | 2009-11-27 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2009-111 |
| Volume (vol) | vol.109 |
| Number (no) | no.306 |
| Page | pp.127-132 |
| #Pages | 6 |
| Date of Issue | 2009-11-19 (PRMU) |
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