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Paper Abstract and Keywords
Presentation 2010-12-10 11:40
An Image Recognition System by Tree Structured SOM with Feature Learning Function
Masahiro Ariizumi, Shuta Saito, Hakaru Tamukoh, Masatoshi Sekine (TUAT) PRMU2010-143
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we describe an image recognition system combining a tree structured Self Organizing Map(SOM) for feature learning, and a tree structured template for its image recognition mechanism. The feature learning capability is achieved by hierarchically constructing base vectors using the Haar wavelet transform followed by clustering of the resultant image based on the SOM and Gram-Schmidt Orthonormalization(GSO) algorithms. The image recognition mechanism utilizes these base vectors to form tree structured templates, by which an image is matched against hierarchically following the coarse to fine methodology. A face recognition application based on the proposed system was created in order to demonstrate its effectiveness.
Keyword (in Japanese) (See Japanese page) 
(in English) wavelet transform / multiple resolution analysis / Self-Organizing Map / Gram-Schmidt Orthonormalization / template matching / face image recognition / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 330, PRMU2010-143, pp. 97-102, Dec. 2010.
Paper # PRMU2010-143 
Date of Issue 2010-12-02 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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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Conference Information
Committee PRMU FM  
Conference Date 2010-12-09 - 2010-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Image Recognition System by Tree Structured SOM with Feature Learning Function 
Sub Title (in English)  
Keyword(1) wavelet transform  
Keyword(2) multiple resolution analysis  
Keyword(3) Self-Organizing Map  
Keyword(4) Gram-Schmidt Orthonormalization  
Keyword(5) template matching  
Keyword(6) face image recognition  
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Keyword(8)  
1st Author's Name Masahiro Ariizumi  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Shuta Saito  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Hakaru Tamukoh  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
4th Author's Name Masatoshi Sekine  
4th Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
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Speaker Author-1 
Date Time 2010-12-10 11:40:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-143 
Volume (vol) vol.110 
Number (no) no.330 
Page pp.97-102 
#Pages
Date of Issue 2010-12-02 (PRMU) 


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