{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214884","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"214884","title":["フォトグラメトリを用いた物体検出のための学習データ生成手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"26822a87-8320-4af4-97b8-a8543a67284e"},"_deposit":{"id":"214884","pid":{"type":"depid","value":"214884","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"フォトグラメトリを用いた物体検出のための学習データ生成手法","author_link":["553012","553014","553013"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"フォトグラメトリを用いた物体検出のための学習データ生成手法"}]},"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":"2021-03-04","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":"琉球大"},{"subitem_text_value":"琉球大"},{"subitem_text_value":"沖縄国際大"}]},"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/214884/files/IPSJ-Z83-1N-06.pdf","label":"IPSJ-Z83-1N-06.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-1N-06.pdf","filesize":[{"value":"646.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"39181697-b814-4671-bfc1-e73eabe4902e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小嶺, 愛紀菜"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"赤嶺, 有平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"根路銘, もえ子"}],"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":"博物館等の展示施設においてモバイルデバイスを用いたディジタルガイダンスシステムが注目されている。特に拡張現実技術を用いた展示物へのキャプション等の重畳表示は、来館者に対する情報提供手段として大きなアドバンテージがあるため今後の活用が期待される。深層学習を用いることで比較的ロバストな重畳表示が実現可能だが検出対象（重畳表示の対象）を様々な角度から撮影した大量の学習データを準備する必要がある。本稿では、学習データの準備に要するコストの低減を目的として、フォトグラメトリを用いて多数視点の画像を生成し、最小限の撮影画像から大量の学習データを生成する手法を提案し、その評価について述べる。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"158","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"157","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214884,"updated":"2025-01-19T16:25:23.594473+00:00","links":{},"created":"2025-01-19T01:15:40.620433+00:00"}