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Paper Abstract and Keywords
Presentation 2023-06-15 10:50
Correction Method Using Markers for Detecting Information from Printed Images
Kosuke Nakamura, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.), Mateusz Stencel, Krystian Kuppe (Gdańsk University of Technology) SIS2023-1
Abstract (in Japanese) (See Japanese page) 
(in English) A data-embedding technique for a printed image has been proposed to embed information in an image, print it out, and retrieve the embedded information from the image captured by a smartphone's camera. This technique is expected to be an alternative to QR codes. The technique must embed information without compromising the design of the image while informing the user that the information has been embedded. We focus on lines for detecting the position of an image and replace these lines with markers of a distinctive shape that does not detract from the design of the target image. In this paper, we propose a detection method that corrects captured images using triangular markers and lines that correct the image distortion caused by lenses. The proposed method can achieve detection rates comparable to or higher than the conventional method. Experimental results show that the proposed method can detect embedded information as well as or better than the conventional method, and the effectiveness of the proposed method is confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) data embedding / lens distortion correction / Hough transform / projective transform / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 77, SIS2023-1, pp. 1-6, June 2023.
Paper # SIS2023-1 
Date of Issue 2023-06-08 (SIS) 
ISSN 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 SIS2023-1

Conference Information
Committee SIS IPSJ-AVM  
Conference Date 2023-06-15 - 2023-06-16 
Place (in Japanese) (See Japanese page) 
Place (in English) NIT, Matsue College 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Intelligent Multimedia Systems, Applied Embedded Systems, Three-Dimensional Image Technology (3DIT), etc. 
Paper Information
Registration To SIS 
Conference Code 2023-06-SIS-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Correction Method Using Markers for Detecting Information from Printed Images 
Sub Title (in English)  
Keyword(1) data embedding  
Keyword(2) lens distortion correction  
Keyword(3) Hough transform  
Keyword(4) projective transform  
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1st Author's Name Kosuke Nakamura  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Mitsuji Muneyasu  
2nd Author's Affiliation Kansai University (Kansai Univ.)
3rd Author's Name Soh Yoshida  
3rd Author's Affiliation Kansai University (Kansai Univ.)
4th Author's Name Mateusz Stencel  
4th Author's Affiliation Gdańsk University of Technology (Gdańsk University of Technology)
5th Author's Name Krystian Kuppe  
5th Author's Affiliation Gdańsk University of Technology (Gdańsk University of Technology)
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Speaker Author-1 
Date Time 2023-06-15 10:50:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2023-1 
Volume (vol) vol.123 
Number (no) no.77 
Page pp.1-6 
#Pages 6 
Date of Issue 2023-06-08 (SIS) 

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