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Paper Abstract and Keywords
Presentation 2008-01-24 16:15
Accurate Estimation of Pose and Position for Outdoor Annotation
Kazuhiro Watanabe, Heitoh Zen (Chiba Univ.), Akimasa Hashimoto (NTT East Corp.) MVE2007-73
Abstract (in Japanese) (See Japanese page) 
(in English) Annotation is one of the major applications of Augmented Reality (AR). The key technology of a successful annotation system is the accurate estimation of the pose and position in the real world. Indoor AR systems often use the active sensing for the purposes, such like magnetic transmitters and receivers. However, the active sensing is not practical at outdoor AR, because it tethers the user a particular area (close to the active sources) and requires an infrastructure. The absence of an active sensing makes it difficult to estimate the pose and position. In this paper, an improved hybrid sensing scheme for the outdoor annotation is proposed, that enables accurate positioning and the pose estimation of the viewer. GPS, rate gyroscope and electronic compass are used for the initial estimation of the pose and position. Then the vision based technique is used for accurate estimations. The boundary edges between the buildings and the sky is chosen as the image derived feature. Matching is done between the image derived boundary edges and the synthesized one from 3D maps. Based on the similarity measure defined by DP matching score, the quasi-optimal estimation is computed using PSO (Particle Swarm Optimization). The evaluation of the proposed method is done through the experiments performed in the campus.
Keyword (in Japanese) (See Japanese page) 
(in English) Annotation / Augmented reality / Sensor fusion / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 454, MVE2007-73, pp. 27-32, Jan. 2008.
Paper # MVE2007-73 
Date of Issue 2008-01-17 (MVE) 
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)
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Conference Information
Committee MVE  
Conference Date 2008-01-24 - 2008-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe Translational Research Informatics Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Life Media 
Paper Information
Registration To MVE 
Conference Code 2008-01-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Accurate Estimation of Pose and Position for Outdoor Annotation 
Sub Title (in English)  
Keyword(1) Annotation  
Keyword(2) Augmented reality  
Keyword(3) Sensor fusion  
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1st Author's Name Kazuhiro Watanabe  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Heitoh Zen  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Akimasa Hashimoto  
3rd Author's Affiliation Nippon Telegraph and Telephone East Corporation (NTT East Corp.)
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Speaker Author-1 
Date Time 2008-01-24 16:15:00 
Presentation Time 30 minutes 
Registration for MVE 
Paper # MVE2007-73 
Volume (vol) vol.107 
Number (no) no.454 
Page pp.27-32 
#Pages 6 
Date of Issue 2008-01-17 (MVE) 

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