Refraction and Absorption for Underwater Shape Recovery

• Item type: SIG Technical Reports(1)
• 公開日: 2022-05-05
• タイトル: Refraction and Absorption for Underwater Shape Recovery
• タイトル / 言語: en
• タイトル: Refraction and Absorption for Underwater Shape Recovery
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: D論セッション
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者名: Meng-Yu, Jennifer Kuo; Ryo, Kawahara; Satoshi, Murai; Shohei, Nobuhara; Ko, Nishino
• 著者名(英): Meng-Yu, Jennifer Kuo; Ryo, Kawahara; Satoshi, Murai; Shohei, Nobuhara; Ko, Nishino
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The properties of water not only bring challenges, but are also part of the solution. The transmittance of water depends on both the distance and the wavelength, and water has significant absorption of light in the near-infrared wavelength range. We leverage this effect and propose three methods for passive underwater 3D sensing. The first method estimates dense per-pixel surface normals and shape of underwater objects without any artificial constraint on one another. The second method reconstructs the holistic and consolidated shape of a dynamic, non-rigid object. And the last method recovers the fuller and detailed surface geometries including both surface normals and shapes of underwater rigid objects. We successfully validate the effectiveness of the theory with the experimental results by applying the methods to a number of real-world objects in water.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The properties of water not only bring challenges, but are also part of the solution. The transmittance of water depends on both the distance and the wavelength, and water has significant absorption of light in the near-infrared wavelength range. We leverage this effect and propose three methods for passive underwater 3D sensing. The first method estimates dense per-pixel surface normals and shape of underwater objects without any artificial constraint on one another. The second method reconstructs the holistic and consolidated shape of a dynamic, non-rigid object. And the last method recovers the fuller and detailed surface geometries including both surface normals and shapes of underwater rigid objects. We successfully validate the effectiveness of the theory with the experimental results by applying the methods to a number of real-world objects in water.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11131797
• 書誌情報: 研究報告コンピュータビジョンとイメージメディア（CVIM）; 巻 2022-CVIM-230, 号 2, p. 1-16, 発行日 2022-05-05
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8701
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会