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Paper Abstract and Keywords
Presentation 2011-03-10 16:30
A study on facial pose transformation based on learning-based local image transformation
Yuki Kono (Nagoya Univ.), Tomokazu Takahashi (Nagoya Univ./Gifu Shotoku Gakuen Univ.), Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2010-263
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, a demand for person identification with surveillance camera images is increasing. However, facial pose of a person in surveillance camera images often differs from the facial pose in an person identification database. Therefore, it is difficult to identify a person in the image. In this report, we propose a method of facial poses transformation based on a learning-based local image transformation. It tackles face recognition across pose by virtually transforming a facial pose to the pose in the person identification database. The proposed method transforms facial poses using a face image dataset which consists of face images of a large number of individuals with various poses. And it performs a patch-wise transformation, which transforms a partial image (patch) in a face at each location. Also, it is necessary to find correspondences of patches between different poses and persons so that
the same part should be contained in the patches for achieving accurate pose transformation. A face recognition experiment was conducted with frontal face images transformed by the proposed method. As a result, the proposed method achieved a recognition rate 77%.
Keyword (in Japanese) (See Japanese page) 
(in English) image generation / pose transformation / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 467, PRMU2010-263, pp. 145-150, March 2011.
Paper # PRMU2010-263 
Date of Issue 2011-03-03 (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  
Conference Date 2011-03-10 - 2011-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2011-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on facial pose transformation based on learning-based local image transformation 
Sub Title (in English)  
Keyword(1) image generation  
Keyword(2) pose transformation  
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1st Author's Name Yuki Kono  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Tomokazu Takahashi  
2nd Author's Affiliation Nagoya University/Gifu Shotoku Gakuen University (Nagoya Univ./Gifu Shotoku Gakuen Univ.)
3rd Author's Name Daisuke Deguchi  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Ichiro Ide  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Hiroshi Murase  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2011-03-10 16:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-263 
Volume (vol) vol.110 
Number (no) no.467 
Page pp.145-150 
#Pages
Date of Issue 2011-03-03 (PRMU) 


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