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| Presentation | 2018-01-19 11:25 Minimal Sampling Design using Bayesian Optimization Toward High-speed BRDF Acquisition Yoshihiro Watanabe (UTokyo/JST), Kenjiro Saito, Leo Miyashita, Masatoshi Ishikawa (UTokyo)  PRMU2017-138 MVE2017-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper focuses on BRDF that is a form of material surface characteristics. As a conventional work toward high-speed sensing, there is a method estimating BRDF model parameters from a few samplings based on algebraic solution without using non-linear optimization. Although the concept of this method is effective to speed up the BRDF acquisition, the accuracy highly depends on which samplings are used for the estimation. Based on this background, in this paper, we propose a method optimizing the sampling about the viewing and lighting directions by utilizing the Bayesian Optimization. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | BRDF / High-speed measurement / Bayesian optimization / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 391, PRMU2017-138, pp. 245-250, Jan. 2018. | |
| Paper # | PRMU2017-138 | |
| Date of Issue | 2018-01-11 (PRMU, MVE) | |
| 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 | PRMU2017-138 MVE2017-59 |
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| Conference Information | |
| Committee | PRMU MVE IPSJ-CVIM |
| Conference Date | 2018-01-18 - 2018-01-19 |
| 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 | 2018-01-PRMU-MVE-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Minimal Sampling Design using Bayesian Optimization Toward High-speed BRDF Acquisition |
| Sub Title (in English) | |
| Keyword(1) | BRDF |
| Keyword(2) | High-speed measurement |
| Keyword(3) | Bayesian optimization |
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| 1st Author's Name | Yoshihiro Watanabe |
| 1st Author's Affiliation | The University of Tokyo/JST, PRESTO (UTokyo/JST) |
| 2nd Author's Name | Kenjiro Saito |
| 2nd Author's Affiliation | The University of Tokyo (UTokyo) |
| 3rd Author's Name | Leo Miyashita |
| 3rd Author's Affiliation | The University of Tokyo (UTokyo) |
| 4th Author's Name | Masatoshi Ishikawa |
| 4th Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2018-01-19 11:25:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | PRMU2017-138, MVE2017-59 |
| Volume (vol) | vol.117 |
| Number (no) | no.391(PRMU), no.392(MVE) |
| Page | pp.245-250 |
| #Pages | 6 |
| Date of Issue | 2018-01-11 (PRMU, MVE) |
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