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| Presentation | 2013-01-24 11:10 depth estimation from microscopic images using Bayesian inference Yasuhiro Imoto, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.)  NLP2012-109 NC2012-99 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In cellular biology, it is important to know 3D cellular shape to understand the cellular function. However, existing microscopic technology cannot attain high-resolution 3D reconstruction especially when live cell imaging. This study aims to present a statistical method to estimate the 3D shape of target objects from multiple 2D microscopic observations. We estimate the depth with higher resolution than the resolution of observations. Labels and label-based prior knowledge are introduced to improve the estimation. In simulations using artificial images, our method can estimate both of the super-resolved image and the object’s depth such to integrate multiple 2D observed images. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | microscopic image processing / depth estimation / super-resolution / Bayesian inference / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 390, NC2012-99, pp. 31-36, Jan. 2013. | |
| Paper # | NC2012-99 | |
| Date of Issue | 2013-01-17 (NLP, NC) | |
| 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 | NLP2012-109 NC2012-99 |
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| Conference Information | |
| Committee | NC NLP |
| Conference Date | 2013-01-24 - 2013-01-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido University Centennial Memory Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2013-01-NC-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | depth estimation from microscopic images using Bayesian inference |
| Sub Title (in English) | |
| Keyword(1) | microscopic image processing |
| Keyword(2) | depth estimation |
| Keyword(3) | super-resolution |
| Keyword(4) | Bayesian inference |
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| 1st Author's Name | Yasuhiro Imoto |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Shin-ichi Maeda |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Shin Ishii |
| 3rd Author's Affiliation | Kyoto University (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2013-01-24 11:10:00 |
| Presentation Time | 20 minutes |
| Registration for | NC |
| Paper # | NLP2012-109, NC2012-99 |
| Volume (vol) | vol.112 |
| Number (no) | no.389(NLP), no.390(NC) |
| Page | pp.31-36 |
| #Pages | 6 |
| Date of Issue | 2013-01-17 (NLP, NC) |
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