{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241121","sets":["1164:6757:11458:11794"]},"path":["11794"],"owner":"44499","recid":"241121","title":["Gaussian Splattingで再構成された3Dシーンにおける前景物体の半自動切抜き"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-22"},"_buckets":{"deposit":"584c8bf4-4bbc-45f1-be60-e6a52e73e20c"},"_deposit":{"id":"241121","pid":{"type":"depid","value":"241121","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Gaussian Splattingで再構成された3Dシーンにおける前景物体の半自動切抜き","author_link":["663291","663290"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Gaussian Splattingで再構成された3Dシーンにおける前景物体の半自動切抜き"}]},"item_type_id":"4","publish_date":"2024-11-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"慶應義塾大学大学院理工学研究科"},{"subitem_text_value":"慶應義塾大学理工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Technology, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Science and Technology, Keio 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/241121/files/IPSJ-DCC24038019.pdf","label":"IPSJ-DCC24038019.pdf"},"date":[{"dateType":"Available","dateValue":"2026-11-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DCC24038019.pdf","filesize":[{"value":"2.8 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":"50"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"050cf508-2c8f-420c-ae5d-def4cb67431c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松本, 悠弥"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤代, 一成"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628338","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":"2188-8868","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"XR 技術の発展に伴い，撮影動画からの三次元 (3D) シーン再構成に対する需要が高まってきている．Neural Radiance Fields の登場を皮切りに，3D 再構成に関する研究は急速な発展を遂げ，スマートフォンでも簡単に 3D 再構成ができる環境となりつつある．その一方で，シーンや特定のオブジェクトに対する編集は難しく，未だ途上段階である．本研究では，Gaussian Splatting により再構成された 3D シーンの半自動的な編集を目指し，ユーザの簡単な入力から前景物体を自動で推定しシーンから切り抜く手法を提案する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告デジタルコンテンツクリエーション（DCC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"19","bibliographicVolumeNumber":"2024-DCC-38"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:45:42.457324+00:00","updated":"2025-01-19T07:44:15.815053+00:00","id":241121}