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| Presentation | 2019-05-31 09:40 Study on feature extraction from leaf-scale plant images Kuniaki Uto (Tokyo Tech), Mauro Dalla Mura, Jocelyn Chanussot (Grenoble INP), Koichi Shinoda (Tokyo Tech)  PRMU2019-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the advent of an unmanned aerial vehicle (UAV) and sensing technologies, it is possible to acquire leaf-scale aerial optical images under various weather conditions. We are working on estimating leaf colors and leaf angles that are related to photosynthetic productivities based on high resolution images. There are a number of issues that should be resolved to estimate leaf colors and leaf angles based on leaf-scale aerial images of plants in field. In this paper, we propose an algorithm that estimates leaf colors and leaf angles based on multiple images of plants. Under the condition in which direct sunlight is dominant and the optical properties of leaves are Lambertian, a set of leaf normals, a set of direction of sunlights and a leaf color are estimated by a tensor decomposition of a 3D data array generated from multiple images of a plant. The proposed algorithm is evaluated by results based on simulated data. We discuss how to proceed with other issues by featuring some experimental results at the moment. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Aerial leaf-scale image / leaf color / leaf angle / tensor decomposition / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 64, PRMU2019-7, pp. 259-264, May 2019. | |
| Paper # | PRMU2019-7 | |
| Date of Issue | 2019-05-23 (PRMU) | |
| 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 | PRMU2019-7 |
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| Conference Information | |
| Committee | PRMU IPSJ-CVIM |
| Conference Date | 2019-05-30 - 2019-05-31 |
| 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 | 2019-05-PRMU-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on feature extraction from leaf-scale plant images |
| Sub Title (in English) | |
| Keyword(1) | Aerial leaf-scale image |
| Keyword(2) | leaf color |
| Keyword(3) | leaf angle |
| Keyword(4) | tensor decomposition |
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| 1st Author's Name | Kuniaki Uto |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
| 2nd Author's Name | Mauro Dalla Mura |
| 2nd Author's Affiliation | Grenoble Institute of Technology (Grenoble INP) |
| 3rd Author's Name | Jocelyn Chanussot |
| 3rd Author's Affiliation | Grenoble Institute of Technology (Grenoble INP) |
| 4th Author's Name | Koichi Shinoda |
| 4th Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech) |
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| Speaker | Author-1 |
| Date Time | 2019-05-31 09:40:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2019-7 |
| Volume (vol) | vol.119 |
| Number (no) | no.64 |
| Page | pp.259-264 |
| #Pages | 6 |
| Date of Issue | 2019-05-23 (PRMU) |
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