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Paper Abstract and Keywords
Presentation 2007-06-29 15:00
Cascading Approximate Nearest Neighbor Searchers and Its Effects on Object Recognition
Kazuto Noguchi, Koichi Kise, Masakazu Iwamura (Osaka Prefecture Univ.) DE2007-18 PRMU2007-44
Abstract (in Japanese) (See Japanese page) 
(in English) For object recognition based on nearest neighbor search of local descriptors such as SIFT, it is important
to make the nearest neighbor search efficient to deal with a huge number of descriptors. In this report we
propose a new method of efficient recognition based on the observation that the level of accuracy of nearest neighbor
search for correct recognition depends on images to be recognized. The proposed method is characterized by the
mechanism that multiple recognizers with approximate nearest neighbor search are cascaded in the order of the
level of approximation so as to improve the efficiency by adaptively controlling the level to be applied depending on
images. From experimental results for a database of 10,000 images, we have confirmed that the proposed method is
capable of achieving a recognition rate of 98% in 1 ms / query, which is about 1/5 of the recognition time without
the cascade, and 1/40 of the recognition time with conventional methods of approximate nearest neighbor search
such as ANN and LSH. In addition, a recognition error rate of the proposed method has been suppressed to 0.25%
by allowing a rejection rate of 12.2%.
Keyword (in Japanese) (See Japanese page) 
(in English) Object recognition / SIFT / PCA-SIFT / Approximate nearest neighbor search / Cascade / Reject / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 115, PRMU2007-44, pp. 99-104, June 2007.
Paper # PRMU2007-44 
Date of Issue 2007-06-21 (DE, 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 DE2007-18 PRMU2007-44

Conference Information
Committee PRMU DE  
Conference Date 2007-06-28 - 2007-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2007-06-PRMU-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Cascading Approximate Nearest Neighbor Searchers and Its Effects on Object Recognition 
Sub Title (in English)  
Keyword(1) Object recognition  
Keyword(2) SIFT  
Keyword(3) PCA-SIFT  
Keyword(4) Approximate nearest neighbor search  
Keyword(5) Cascade  
Keyword(6) Reject  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuto Noguchi  
1st Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
2nd Author's Name Koichi Kise  
2nd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
3rd Author's Name Masakazu Iwamura  
3rd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
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Speaker Author-1 
Date Time 2007-06-29 15:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # DE2007-18, PRMU2007-44 
Volume (vol) vol.107 
Number (no) no.114(DE), no.115(PRMU) 
Page pp.99-104 
#Pages 6 
Date of Issue 2007-06-21 (DE, PRMU) 

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