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Paper Abstract and Keywords
Presentation 2010-12-19 13:30
A Hierarchal Features Realization Method by Self-Organizing Map
Shuta Saito, Masahiro Ariizumi, Hakaru Tamukoh, Masatoshi Sekine (Tokyo Univ. of Agr and Tech) MBE2010-72 NC2010-83
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a tree structured SOM to learn a base vector to express the feature of the image hierarchically with Wavelet transformation, clustering by Self-organizing map and Gram-Schmidt orthonormalization. With the making of the base vector, this system search for a feature region step by step and extract an existing local feature and an existing global feature every each resolution level. We was able to extract part neighborhood such as eyes and the mouth in the experiment for the face image. In addition, we generated a template image from the feature of an image built in tree structure type and performed a face image recognition experiment by the template matching. The utility of the feature subspace base vector of the tree structure type was confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) face image recognition / wavelet transform / Self-Organizing Map / feature region / template matching / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 355, NC2010-83, pp. 97-102, Dec. 2010.
Paper # NC2010-83 
Date of Issue 2010-12-12 (MBE, NC) 
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 MBE2010-72 NC2010-83

Conference Information
Committee NC MBE  
Conference Date 2010-12-19 - 2010-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2010-12-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Hierarchal Features Realization Method by Self-Organizing Map 
Sub Title (in English)  
Keyword(1) face image recognition  
Keyword(2) wavelet transform  
Keyword(3) Self-Organizing Map  
Keyword(4) feature region  
Keyword(5) template matching  
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1st Author's Name Shuta Saito  
1st Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agr and Tech)
2nd Author's Name Masahiro Ariizumi  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agr and Tech)
3rd Author's Name Hakaru Tamukoh  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agr and Tech)
4th Author's Name Masatoshi Sekine  
4th Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agr and Tech)
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Speaker Author-1 
Date Time 2010-12-19 13:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # MBE2010-72, NC2010-83 
Volume (vol) vol.110 
Number (no) no.354(MBE), no.355(NC) 
Page pp.97-102 
#Pages 6 
Date of Issue 2010-12-12 (MBE, NC) 

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