{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00217815","sets":["1164:4619:10826:10925"]},"path":["10925"],"owner":"44499","recid":"217815","title":["Refraction and Absorption for Underwater Shape Recovery"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-05-05"},"_buckets":{"deposit":"4fd78416-e906-47cb-87f5-9c97e6778ace"},"_deposit":{"id":"217815","pid":{"type":"depid","value":"217815","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Refraction and Absorption for Underwater Shape Recovery","author_link":["565044","565048","565051","565046","565047","565050","565049","565043","565045","565042"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Refraction and Absorption for Underwater Shape Recovery"},{"subitem_title":"Refraction and Absorption for Underwater Shape Recovery","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"D論セッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-05-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Kyoto University"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/217815/files/IPSJ-CVIM22230002.pdf","label":"IPSJ-CVIM22230002.pdf"},"date":[{"dateType":"Available","dateValue":"2024-05-05"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM22230002.pdf","filesize":[{"value":"43.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"976df036-fb4e-4ace-8f81-dbaf63625b0d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Meng-Yu, Jennifer Kuo"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryo, Kawahara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Murai"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shohei, Nobuhara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ko, Nishino"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Meng-Yu, Jennifer Kuo","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryo, Kawahara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Murai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shohei, Nobuhara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ko, Nishino","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"16","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア(CVIM)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-05-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2022-CVIM-230"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":217815,"updated":"2025-01-19T15:22:07.850382+00:00","links":{},"created":"2025-01-19T01:18:14.664991+00:00"}