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アイテム
Three-Dimensional Photon Counting Integral Imaging Reconstruction using Merging Reconstruction Method
http://hdl.handle.net/10228/00007735
http://hdl.handle.net/10228/00007735ef6dcc25-8293-462d-99f7-adf16bec83fb
| 名前 / ファイル | ライセンス | アクション |
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10349860.pdf (1.2 MB)
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| アイテムタイプ | 学術雑誌論文 = Journal Article(1) | |||||||||||||
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| 公開日 | 2020-05-13 | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
| 資源タイプ | journal article | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Three-Dimensional Photon Counting Integral Imaging Reconstruction using Merging Reconstruction Method | |||||||||||||
| 言語 | en | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| 著者 |
Lee, Jaehoon
× Lee, Jaehoon× Cho, Myungjin× Inoue, Kotaro× 李, 旻哲
WEKO
27557
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| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | In this paper, we propose a new three-dimensional (3D) photon counting integral imaging reconstruction method using elemental image merging process for the effective use of the extracted photons under severely photon starved conditions. In previous methods, the photons are extracted from elemental images using Poisson random process and 3D images are reconstructed by Maximum Likelihood Estimation (MLE). However, 3D integral imaging with photon counting do not use the photons effectively in reconstruction. Thus, it may not visualize 3D objects in severely low light level conditions. In addition, it may not generate high-quality reconstructed 3D images when the number of the recorded elemental images is insufficient. Therefore, to solve these problems, we propose a new 3D reconstruction method for photon counting integral imaging, which can generate high-quality 3D images without photon loss in the reconstruction process. To prove our method, we carry out the simulation experiments. | |||||||||||||
| 備考 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 2nd International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2020), February 19-21, 2020, Fukuoka, Japan | |||||||||||||
| 書誌情報 |
2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 発行日 2020-04-16 |
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| 出版社 | ||||||||||||||
| 出版者 | IEEE | |||||||||||||
| DOI | ||||||||||||||
| 関連タイプ | isVersionOf | |||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.1109/ICAIIC48513.2020.9065055 | |||||||||||||
| ISBN | ||||||||||||||
| 識別子タイプ | ISBN | |||||||||||||
| 関連識別子 | 978-1-7281-4985-1 | |||||||||||||
| ISBN | ||||||||||||||
| 識別子タイプ | ISBN | |||||||||||||
| 関連識別子 | 978-1-7281-4986-8 | |||||||||||||
| 著作権関連情報 | ||||||||||||||
| 権利情報 | Copyright (c) 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | 3D reconstruction | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | 3D visualization | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | Integral imaging | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Photon Counting | |||||||||||||
| 出版タイプ | ||||||||||||||
| 出版タイプ | AM | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||
| 査読の有無 | ||||||||||||||
| 値 | yes | |||||||||||||
| 研究者情報 | ||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/215_ja.html | |||||||||||||
| 論文ID（連携） | ||||||||||||||
| 値 | 10349860 | |||||||||||||
| 連携ID | ||||||||||||||
| 値 | 8247 | |||||||||||||
