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| 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 |
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| 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 | |
| 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 | ITS2016-48 IE2016-106 |
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| Conference Information | |
| Committee | IE ITS ITE-AIT ITE-HI ITE-ME ITE-MMS ITE-CE |
| 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 |
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| 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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| Speaker | Author-1 |
| Date Time | 2017-02-21 10:45:00 |
| Presentation Time | 15 minutes |
| Registration for | IE |
| Paper # | ITS2016-48, IE2016-106 |
| Volume (vol) | vol.116 |
| Number (no) | no.463(ITS), no.464(IE) |
| Page | pp.227-230 |
| #Pages | 4 |
| Date of Issue | 2017-02-13 (ITS, IE) |
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