{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00242260","sets":["1164:4619:11919:11920"]},"path":["11920"],"owner":"44499","recid":"242260","title":["自己教師あり学習を用いた広画角深度推定モデルのための変形畳み込みの活用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2025-01-14"},"_buckets":{"deposit":"3d62a2c2-10ee-44b4-8d2e-71953a7be662"},"_deposit":{"id":"242260","pid":{"type":"depid","value":"242260","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"自己教師あり学習を用いた広画角深度推定モデルのための変形畳み込みの活用","author_link":["668717","668718","668720","668719"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自己教師あり学習を用いた広画角深度推定モデルのための変形畳み込みの活用"}]},"item_type_id":"4","publish_date":"2025-01-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京理科大学"},{"subitem_text_value":"東京理科大学"},{"subitem_text_value":"東京理科大学"},{"subitem_text_value":"東京理科大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo University of Science","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Science","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Science","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Science","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/242260/files/IPSJ-CVIM25240034.pdf","label":"IPSJ-CVIM25240034.pdf"},"date":[{"dateType":"Available","dateValue":"2027-01-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM25240034.pdf","filesize":[{"value":"16.2 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":"6bd35f7e-ab3a-4d27-8491-10cb37ef1d72","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤, 駿"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"澤田, 隼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大村, 英史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"桂田, 浩一"}],"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":"深層学習による画像からの深度推定は，計測機器を必要としない手法として注目されている．室内環境では周囲を見渡すことのできる広画角な画像が有効だが，画像中心部から周辺部にかけて物体サイズが急激に変化するため，従来の固定カーネルによる畳み込みでは十分な特徴抽出が困難である．本研究では，入力特徴量に基づいてカーネルのサンプリングポイントを動的に調整可能な変形畳み込みを深度推定モデルに導入し，広画角画像における物体形状の変化に対応する手法を提案した．90度から165度までの複数画角を含むデータセットでの実験により，150度までの広画角画像に対して変形畳み込みの優位性が段階的に向上することを示した．また，カーネルの変形を可視化することで，物体の大きさに応じた適切な変形が行われていることを確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","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":"2025-01-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"34","bibliographicVolumeNumber":"2025-CVIM-240"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":242260,"updated":"2025-01-19T07:22:58.298725+00:00","links":{},"created":"2025-01-19T01:47:21.696524+00:00"}