{"created":"2025-01-19T01:37:42.508791+00:00","updated":"2025-01-19T09:27:40.230574+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235933","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235933","title":["任意視点における直接・大域成分分離と質感編集"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"f8b9421e-4c3c-4544-ac0c-9c1e2ada6121"},"_deposit":{"id":"235933","pid":{"type":"depid","value":"235933","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"任意視点における直接・大域成分分離と質感編集","author_link":["644761","644759","644762","644760"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"任意視点における直接・大域成分分離と質感編集"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九工大"},{"subitem_text_value":"九工大"},{"subitem_text_value":"九工大"},{"subitem_text_value":"九工大"}]},"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/235933/files/IPSJ-Z86-2P-03.pdf","label":"IPSJ-Z86-2P-03.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-2P-03.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c3102ec9-66b7-42cb-96cd-b23b542d5230","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松藤, 憲吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石, 林"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川原, 僚"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡部, 孝弘"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"光源に照らされたシーンを鏡面反射や拡散反射などの直接成分と相互反射や表面下散乱などの大域成分に分離することは，画像の理解・認識・生成に有用である．従来手法では，新規視点での分離は困難であり，既知視点でも少数画像からの分離は精度が低い．そこで本稿では，NeRFに基づいて，比較的少数の多視点画像から任意視点における直接・大域成分の画像を生成する手法を提案する．提案手法では，同軸のプロジェクタ-カメラシステムを用いて，被写体またはシステムを動かしながらパターン光を投影して撮影した画像から，シーンの密度と成分ごとの輝度を復元する．実画像を用いた実験を行い，提案手法の有効性と質感編集への有用性を示す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"180","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"179","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235933,"links":{}}