| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2018-03-18 13:55 Feature extraction of object shape from motion parallax using convolutional neural network ChengJun Shao, Makoto Murakami (Toyo Univ.)  BioX2017-41 PRMU2017-177 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The convolution neural networks (CNN) have good feature extraction capability. In this paper, we propose a method which can extract 3D features of object shape from a sequence of RGB images captured with a single camera through two different convolutional neural networks such as a spatial feature extraction CNN and a spatiotemporal feature extraction CNN. We extract spatial features by trained spatial feature extraction CNN, and input them to spatiotemporal feature extraction CNN and extract features of object shape. As a result of experiment using simple building blocks, we extracted motion trajectory and direction. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | convolutional neural network / motion parallax / feature extraction / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 514, PRMU2017-177, pp. 31-36, March 2018. | |
| Paper # | PRMU2017-177 | |
| Date of Issue | 2018-03-11 (BioX, PRMU) | |
| 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 | BioX2017-41 PRMU2017-177 |
|
| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2018-03-18 - 2018-03-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2018-03-PRMU-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature extraction of object shape from motion parallax using convolutional neural network |
| Sub Title (in English) | |
| Keyword(1) | convolutional neural network |
| Keyword(2) | motion parallax |
| Keyword(3) | feature extraction |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | ChengJun Shao |
| 1st Author's Affiliation | Toyo University (Toyo Univ.) |
| 2nd Author's Name | Makoto Murakami |
| 2nd Author's Affiliation | Toyo University (Toyo Univ.) |
| 3rd Author's Name | |
| 3rd Author's Affiliation | () |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2018-03-18 13:55:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | BioX2017-41, PRMU2017-177 |
| Volume (vol) | vol.117 |
| Number (no) | no.513(BioX), no.514(PRMU) |
| Page | pp.31-36 |
| #Pages | 6 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |
[Return to Top Page]