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Paper Abstract and Keywords
Presentation 2017-02-21 10:45
Estimating Proper View-points for 3D Object Detection based on Principal Component Analysis in Point Clouds
Tomoaki Yamazaki, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) ITS2016-48 IE2016-106
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method for 3D object detection in point clouds.Our method projects point clouds to virtual cameras that have different viewpoints.We evaluate image features on the projected images to detect objects.By performing a backprojection of pixels detected as the candidates of objects on the projected images to 3D space (point clouds), we achieve 3D object detection.We apply Principal Component Analysis to target object's point clouds to estimate the appropriate projection direction where discriminative image features of target object can be extracted.Our estimation of the appropriate viewpoints of virtual cameras allows us to improve the accuracy of 3D object detection.Using public datasets, we demonstrate the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D Object Detection / Point Clouds / Principal Component Analysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 464, IE2016-106, pp. 227-230, Feb. 2017.
Paper # IE2016-106 
Date of Issue 2017-02-13 (ITS, IE) 
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 ITS2016-48 IE2016-106

Conference Information
Conference Date 2017-02-20 - 2017-02-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2017-02-IE-ITS-AIT-HI-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimating Proper View-points for 3D Object Detection based on Principal Component Analysis in Point Clouds 
Sub Title (in English)  
Keyword(1) 3D Object Detection  
Keyword(2) Point Clouds  
Keyword(3) Principal Component Analysis  
1st Author's Name Tomoaki Yamazaki  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Daisuke Sugimura  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Takayuki Hamamoto  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Date Time 2017-02-21 10:45:00 
Presentation Time 15 
Registration for IE 
Paper # IEICE-ITS2016-48,IEICE-IE2016-106 
Volume (vol) IEICE-116 
Number (no) no.463(ITS), no.464(IE) 
Page pp.227-230 
#Pages IEICE-4 
Date of Issue IEICE-ITS-2017-02-13,IEICE-IE-2017-02-13 

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