{"created":"2025-01-19T01:37:44.131830+00:00","updated":"2025-01-19T09:27:18.201092+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235950","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235950","title":["iPi Motion CaptureとMediaPipeを活用した3Dアニメーション自動生成ツールの開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"1a44faa3-a5ae-4998-bff9-a7395d06bebe"},"_deposit":{"id":"235950","pid":{"type":"depid","value":"235950","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"iPi Motion CaptureとMediaPipeを活用した3Dアニメーション自動生成ツールの開発","author_link":["644810","644809","644808"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"iPi Motion CaptureとMediaPipeを活用した3Dアニメーション自動生成ツールの開発"}]},"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":"阪工大"},{"subitem_text_value":"阪工大"},{"subitem_text_value":"阪工大"}]},"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/235950/files/IPSJ-Z86-5P-05.pdf","label":"IPSJ-Z86-5P-05.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-5P-05.pdf","filesize":[{"value":"431.2 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c0fc66df-fa2e-424f-823c-10908cd86256","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":"久保, 雅哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大柄, 和樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"村木, 祐太"}],"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":"近年，安価なモーションキャプチャシステム開発への需要が高まっている．安価な例として，iPi Motion Capture（以下，iPi）が挙げられる．しかし，iPiには手と表情のキャプチャが不可能という問題がある．一方，手と表情の追跡が可能なPythonライブラリとしてMediaPipeがある．本研究では，iPiを用いて体の動き，MediaPipeを用いて手と表情をキャプチャし，3Dソフトを用いて統合するツールを開発する．本ツールは関節数の異なる多様な3Dモデルに適用できる．また，手と表情を誤検出したフレームを補間する手法を開発することで，高精度な全身の3Dアニメーションの自動生成を実現する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"214","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"213","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235950,"links":{}}