{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00217446","sets":["1164:3027:10764:10847"]},"path":["10847"],"owner":"44499","recid":"217446","title":["両眼映像を入力とした深層学習による注視点の奥行き推定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-07"},"_buckets":{"deposit":"6702a2fb-27e4-412a-b203-3659cbcc5a03"},"_deposit":{"id":"217446","pid":{"type":"depid","value":"217446","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"両眼映像を入力とした深層学習による注視点の奥行き推定手法","author_link":["563459","563457","563456","563458"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"両眼映像を入力とした深層学習による注視点の奥行き推定手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"センシングと入力","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-03-07","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神戸大学大学院工学研究科"},{"subitem_text_value":"神戸大学大学院工学研究科"},{"subitem_text_value":"神戸大学大学院工学研究科"},{"subitem_text_value":"神戸大学大学院工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Grad. Sch. of Engineering, Kobe University","subitem_text_language":"en"},{"subitem_text_value":"Grad. Sch. of Engineering, Kobe University","subitem_text_language":"en"},{"subitem_text_value":"Grad. Sch. of Engineering, Kobe University","subitem_text_language":"en"},{"subitem_text_value":"Grad. Sch. of Engineering, Kobe 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/217446/files/IPSJ-HCI22197027.pdf","label":"IPSJ-HCI22197027.pdf"},"date":[{"dateType":"Available","dateValue":"2024-03-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HCI22197027.pdf","filesize":[{"value":"2.7 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":"33"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"9c2a5e8e-4513-4b3a-815b-c121985d222f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"清水, 裕介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大西, 鮎美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺田, 努"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"塚本, 昌彦"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1221543X","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":"2188-8760","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"アイトラッカを搭載したヘッドマウントディスプレイ (HMD: Head Mounted Display) の開発が進み，3D コンテンツにおける注視点推定の需要は高まっている．3D コンテンツは 2D コンテンツとは異なる奥行きの情報を含んでいるため，3D コンテンツで注視点の情報を用いる際にはこの情報を考慮する必要がある．しかし，視線の縦横方向推定に比べて注視点の奥行き推定は難しく，精度が低い．そこで本研究では，HMD に取り付けた赤外線カメラによって取得した両眼映像を入力とした深層学習によって注視点の奥行きを推定する手法を提案する．提案手法の推定精度を確かめる評価実験を行った結果，使用前にキャリブレーションとしてデータ収集が必要であるものの，提案手法によって高精度に注視点の奥行きを推定できることを確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ヒューマンコンピュータインタラクション（HCI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-03-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"27","bibliographicVolumeNumber":"2022-HCI-197"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":217446,"updated":"2025-01-19T15:29:45.661602+00:00","links":{},"created":"2025-01-19T01:17:56.222253+00:00"}