{"created":"2025-01-19T00:51:30.903610+00:00","updated":"2025-01-20T03:24:59.225190+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00184037","sets":["1164:3206:9098:9275"]},"path":["9275"],"owner":"11","recid":"184037","title":["形状に依存する前方散乱を考慮した散乱媒体下での照度差ステレオ法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-11-01"},"_buckets":{"deposit":"d50ae4f2-28a7-4b2f-9b7a-d6e79121f1ec"},"_deposit":{"id":"184037","pid":{"type":"depid","value":"184037","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"形状に依存する前方散乱を考慮した散乱媒体下での照度差ステレオ法","author_link":["405661","405659","405660","405662"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"形状に依存する前方散乱を考慮した散乱媒体下での照度差ステレオ法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般セッション1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2017-11-01","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"京都大学学術情報メディアセンター"},{"subitem_text_value":"京都大学大学院教育学研究科"},{"subitem_text_value":"京都大学学術情報メディアセンター"}]},"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":"ACCMS, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Education, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"ACCMS, Kyoto University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/184037/files/IPSJ-CG17168002.pdf","label":"IPSJ-CG17168002.pdf"},"date":[{"dateType":"Available","dateValue":"2019-11-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CG17168002.pdf","filesize":[{"value":"7.5 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":"28"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ad0a412a-7170-4a5c-a149-320ec97d3a9a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤村, 友貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯山, 将晃"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"橋本, 敦史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"美濃, 導彦"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10100541","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":"2188-8949","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"濁った水中や霧，煙などの微粒子が拡散した環境 （散乱媒体下） では，観測画像が散乱光によって劣化してしまうため，通常の三次元復元手法を適用することが難しい．この問題に対して，散乱媒体下での照度差ステレオ法が提案されているが，従来の後方散乱のみをモデル化した手法では，前方散乱の影響が大きくなる散乱媒体の濃度が高い環境では精度が低下する．そこで，本研究では前方散乱を考慮した照度差ステレオ法を提案する．カメラで観測される前方散乱成分は物体の形状に依存するため，前方散乱成分の除去と形状の復元を交互に行う．形状に依存した前方散乱はルックアップテーブルを用いて計算し，大規模密行列によってモデル化する．また，計算した大規模密行列をスパースな行列に変換することによって，前方散乱成分の除去を可能にする．実際に散乱媒体下で形状復元を行い，既知物体を用いた定量評価と定性評価により手法の有効性を示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータグラフィックスとビジュアル情報学（CG）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-11-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2017-CG-168"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":184037,"links":{}}