Paper Abstract and Keywords |
Presentation |
2009-03-14 09:30
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-- - -- Takayuki Hondo, Koichi Kise (Osaka Pref. Univ.) PRMU2008-265 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In case of conducting large-scale specific objects recognition using local features such as SIFT, the number of local features increases. Hence, reduction of the memory utilization is an important issue. In this report, we attempt memory reduction with two approaches; one is a method using vector quantization, and the other is one using selection of local features. From experimental results, we confirm that good results could not be acquired by vector quantization. On the other hand, if we employ feature selection as the method, the recognition rate hardly decreases with a database whose size is 10% of its original. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Local feature / large-scale specific object recognition / memory reduction / vector quantization / k-means / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 484, PRMU2008-265, pp. 171-176, March 2009. |
Paper # |
PRMU2008-265 |
Date of Issue |
2009-03-06 (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) |
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PRMU2008-265 |
Conference Information |
Committee |
PRMU |
Conference Date |
2009-03-13 - 2009-03-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tohoku Institute of Technology |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2009-03-PRMU |
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Japanese |
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(See Japanese page) |
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(See Japanese page) |
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Local feature |
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large-scale specific object recognition |
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memory reduction |
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vector quantization |
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k-means |
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1st Author's Name |
Takayuki Hondo |
1st Author's Affiliation |
Osaka Prefecture University (Osaka Pref. Univ.) |
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Koichi Kise |
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Osaka Prefecture University (Osaka Pref. Univ.) |
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Speaker |
Author-1 |
Date Time |
2009-03-14 09:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2008-265 |
Volume (vol) |
vol.108 |
Number (no) |
no.484 |
Page |
pp.171-176 |
#Pages |
6 |
Date of Issue |
2009-03-06 (PRMU) |
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