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Three-Dimensional (3D) Visualization under Extremely Low Light Conditions Using Kalman Filter
http://hdl.handle.net/10228/0002000108
http://hdl.handle.net/10228/00020001083ca34849-938d-45c0-bbe6-5127f0d5d94f
| 名前 / ファイル | ライセンス | アクション |
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| Item type | 学術雑誌論文 = Journal Article(1) | |||||||||||||||||
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| 公開日 | 2023-09-21 | |||||||||||||||||
| 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 (3D) Visualization under Extremely Low Light Conditions Using Kalman Filter | |||||||||||||||||
| 言語 | en | |||||||||||||||||
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| 言語 | eng | |||||||||||||||||
| 著者 |
Kim, Hyun-Woo
× Kim, Hyun-Woo
× Cho, Myungjin
× 李, 旻哲
WEKO
27557
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| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | In recent years, research on three-dimensional (3D) reconstruction under low illumination environment has been reported. Photon-counting integral imaging is one of the techniques for visualizing 3D images under low light conditions. However, conventional photon-counting integral imaging has the problem that results are random because Poisson random numbers are temporally and spatially independent. Therefore, in this paper, we apply a technique called Kalman filter to photon-counting integral imaging, which corrects data groups with errors, to improve the visual quality of results. The purpose of this paper is to reduce randomness and improve the accuracy of visualization for results by incorporating the Kalman filter into 3D reconstruction images under extremely low light conditions. Since the proposed method has better structure similarity (SSIM), peak signal-to-noise ratio (PSNR) and cross-correlation values than the conventional method, it can be said that the visualization of low illuminated images can be accurate. In addition, the proposed method is expected to accelerate the development of autonomous driving technology and security camera technology. | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 書誌情報 |
en : Sensors 巻 23, 号 17, p. 7571, 発行日 2023-08-31 |
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| 出版者 | MDPI | |||||||||||||||||
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| 関連タイプ | isIdenticalTo | |||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||
| 関連識別子 | https://doi.org/10.3390/s23177571 | |||||||||||||||||
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| 収録物識別子タイプ | EISSN | |||||||||||||||||
| 収録物識別子 | 1424-8220 | |||||||||||||||||
| 著作権関連情報 | ||||||||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by/4.0/ | |||||||||||||||||
| 権利情報 | Copyright (c) 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | digital image processing | |||||||||||||||||
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| 主題Scheme | Other | |||||||||||||||||
| 主題 | integral imaging | |||||||||||||||||
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| 主題Scheme | Other | |||||||||||||||||
| 主題 | Kalman filter | |||||||||||||||||
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| 主題Scheme | Other | |||||||||||||||||
| 主題 | photon-counting integral imaging | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | volumetric computational reconstruction | |||||||||||||||||
| 出版タイプ | ||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||
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| 値 | yes | |||||||||||||||||
| 研究者情報 | ||||||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/215_ja.html | |||||||||||||||||