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Paper Abstract and Keywords
Presentation 2015-03-19 10:00
3D Object Recognition Method Using Relationship of Length and Angle in Feature Points
Seiichi Maehara, Hiroki Imamura (Soka Univ.) BioX2014-40 PRMU2014-160
Abstract (in Japanese) (See Japanese page) 
(in English) Recent years,there is SHOT method for extracting feature points in local areas.This method has the advantage of high speed recognition and robustness against occlusion.On the other hand,this method can not recognize the different aspect ratio in object and objects containing a large amount of the same feature.We focus on relationship between feature points to solve these problems.The propose method calculate the feature on the basis of the curvature of the object and extract feature points.After that,proposed method recognizes object using relationship of length and angle in feature points.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D object recognition / feature points / relationship / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 521, PRMU2014-160, pp. 7-10, March 2015.
Paper # PRMU2014-160 
Date of Issue 2015-03-12 (BioX, PRMU) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 BioX2014-40 PRMU2014-160

Conference Information
Committee PRMU BioX  
Conference Date 2015-03-19 - 2015-03-20 
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 2015-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 3D Object Recognition Method Using Relationship of Length and Angle in Feature Points 
Sub Title (in English)  
Keyword(1) 3D object recognition  
Keyword(2) feature points  
Keyword(3) relationship  
1st Author's Name Seiichi Maehara  
1st Author's Affiliation Soka University (Soka Univ.)
2nd Author's Name Hiroki Imamura  
2nd Author's Affiliation Soka University (Soka Univ.)
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Date Time 2015-03-19 10:00:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-BioX2014-40,IEICE-PRMU2014-160 
Volume (vol) IEICE-114 
Number (no) no.520(BioX), no.521(PRMU) 
Page pp.7-10 
#Pages IEICE-4 
Date of Issue IEICE-BioX-2015-03-12,IEICE-PRMU-2015-03-12 

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