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Paper Abstract and Keywords
Presentation 2009-03-14 10:45
Large-Scale Image Recognition with a Camera Phone
Kazuto Noguchi, Shinya Ujihara, Koichi Kise, Masakazu Iwamura (Osaka Prefecture Univ.) PRMU2008-270
Abstract (in Japanese) (See Japanese page) 
(in English) For image recognition with a camera phone, defocus and motion-blur cause a serious decrease of the
image recognition rate. In this report, we employ generative learning, i.e., generating blurred images and learning
based on them, for a recognition method using approximate nearest neighbor search of local features. Major prob-
lems of generative learning are long processing time and a large amount of memory required for nearest neighbor
search. The problems become serious when we use a large-scale database. In the proposed method, they are sloved
by cascading recognizers and scalar quantization. From experimental results with 10,000 images, we have confirmed
that the proposed method improves the recogniton rate by 12.3% as compared to a method without generative
learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative learning / Image recognition / Camera phone / Local features / Cascade / Scalar quantization / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 484, PRMU2008-270, pp. 205-210, March 2009.
Paper # PRMU2008-270 
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)
Download PDF PRMU2008-270

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 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2009-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Large-Scale Image Recognition with a Camera Phone 
Sub Title (in English)  
Keyword(1) Generative learning  
Keyword(2) Image recognition  
Keyword(3) Camera phone  
Keyword(4) Local features  
Keyword(5) Cascade  
Keyword(6) Scalar quantization  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuto Noguchi  
1st Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
2nd Author's Name Shinya Ujihara  
2nd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
3rd Author's Name Koichi Kise  
3rd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
4th Author's Name Masakazu Iwamura  
4th Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
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Speaker Author-1 
Date Time 2009-03-14 10:45:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2008-270 
Volume (vol) vol.108 
Number (no) no.484 
Page pp.205-210 
#Pages
Date of Issue 2009-03-06 (PRMU) 


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