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Paper Abstract and Keywords
Presentation 2010-06-25 09:00
Face recognition based on extended separable lattice HMMs
Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2010-46 HIP2010-35
Abstract (in Japanese) (See Japanese page) 
(in English) In image recognition systems, it needs to deal with geometrical variations of an object, e.g. location, size, rotation and etc. Separable lattice hidden Markov models (SL-HMMs) have been proposed as probabilistic models including the normalization process for such variations. SL-HMMs have horizontal and vertical state sequences and makes it possible to model invariances to the size and location of an object. However, SL-HMMs cannot deal with rotation and distortion.
This paper proposes extended separable lattice HMMs which have state sequences corresponding to each row and column of an input image. By complicated state alignments due to increasing the state alignments, the proposed models can deal with rotation and distortion. We also derive a training algorithm based on the variational EM algorithm and evaluate the effectiveness of the proposed model in face recognition experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) hidden Markov model / face recognition / separable lattice HMM / EM algorithm / variational approximation / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 97, PRMU2010-46, pp. 45-50, June 2010.
Paper # PRMU2010-46 
Date of Issue 2010-06-17 (PRMU, HIP) 
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 PRMU2010-46 HIP2010-35

Conference Information
Committee PRMU HIP  
Conference Date 2010-06-24 - 2010-06-25 
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 2010-06-PRMU-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Face recognition based on extended separable lattice HMMs 
Sub Title (in English)  
Keyword(1) hidden Markov model  
Keyword(2) face recognition  
Keyword(3) separable lattice HMM  
Keyword(4) EM algorithm  
Keyword(5) variational approximation  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Keisuke Kumaki  
1st Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
2nd Author's Name Yoshihiko Nankaku  
2nd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
3rd Author's Name Keiichi Tokuda  
3rd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
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Speaker Author-1 
Date Time 2010-06-25 09:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-46, HIP2010-35 
Volume (vol) vol.110 
Number (no) no.97(PRMU), no.98(HIP) 
Page pp.45-50 
#Pages 6 
Date of Issue 2010-06-17 (PRMU, HIP) 

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