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Paper Abstract and Keywords
Presentation 2013-02-21 10:30
Topic extraction about 3D constitution for occlusion boundary detection
Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi (NTT) PRMU2012-132
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a new method to detect occlusion boundaries and estimate depth ordering along them. To tackle this difficult problem, we design latent topic model expressing regions and boundaries simultaneously. Occlusion boundary detection to a single image is very hard problem, but recently it is indicated that 3D layout estimation result is helpful to enhance detection accuracy. However, since 3D layout estimation to a single image is also hard problem, previous method assumes the image has fixed layout components and cannot estimate 3D layout when the assumption is corrupted. To avoid this assumption, our method handles 3D layout components as latent topics and extract layout topics from training data with regard to boundary attributes. Without assumption about 3D layout, our method is capable to detect occlusion boundaries of various images. Experimental results confirm that our method can detect occlusion boundaries and estimate depth ordering on various images. Key words occlusion boundary detection, 3D layout estimation, topic model
Keyword (in Japanese) (See Japanese page) 
(in English) occlusion boundary detection / 3D layout estimation / topic model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-132, pp. 13-18, Feb. 2013.
Paper # PRMU2012-132 
Date of Issue 2013-02-14 (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 PRMU2012-132

Conference Information
Committee PRMU  
Conference Date 2013-02-21 - 2013-02-22 
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 2013-02-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Topic extraction about 3D constitution for occlusion boundary detection 
Sub Title (in English)  
Keyword(1) occlusion boundary detection  
Keyword(2) 3D layout estimation  
Keyword(3) topic model  
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1st Author's Name Kazuhiko Murasaki  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Kyoko Sudo  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Yukinobu Taniguchi  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2013-02-21 10:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-132 
Volume (vol) vol.112 
Number (no) no.441 
Page pp.13-18 
#Pages 6 
Date of Issue 2013-02-14 (PRMU) 

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