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Paper Abstract and Keywords
Presentation 2009-10-08 13:25
Camera Tracking Using LLAH for Document Based Augmented Reality Applications
Hideaki Uchiyama, Hideo Saito (Keio Univ.) MVE2009-39
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method for text document tracking based on on-line learning of the local arrangement of keypoints using LLAH. Locally Likely Arrangement Hashing (LLAH) is a keypoint retrieval method by indexing local arrangement of neighbor keypoints for document image retrieval. Since LLAH is available in case of nearly top view, we extend LLAH to free viewpoint tracking by learning the behavior of keypoint arrangement. Our method starts document tracking from a top view. If the new patterns of keypoints appear while moving the camera, the database of local arrangement is incrementally updated to reflect these new patterns. Thanks to the update, our system can detect the document over a large range of viewpoints.
Keyword (in Japanese) (See Japanese page) 
(in English) Tracking / Registration / LLAH / Augmented Reality / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 215, MVE2009-39, pp. 29-34, Oct. 2009.
Paper # MVE2009-39 
Date of Issue 2009-10-01 (MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee MVE  
Conference Date 2009-10-08 - 2009-10-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Eco Center 2000 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2009-10-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Camera Tracking Using LLAH for Document Based Augmented Reality Applications 
Sub Title (in English)  
Keyword(1) Tracking  
Keyword(2) Registration  
Keyword(3) LLAH  
Keyword(4) Augmented Reality  
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1st Author's Name Hideaki Uchiyama  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Hideo Saito  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker
Date Time 2009-10-08 13:25:00 
Presentation Time 25 
Registration for MVE 
Paper # IEICE-MVE2009-39 
Volume (vol) IEICE-109 
Number (no) no.215 
Page pp.29-34 
#Pages IEICE-6 
Date of Issue IEICE-MVE-2009-10-01 


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