{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00242232","sets":["1164:4619:11919:11920"]},"path":["11920"],"owner":"44499","recid":"242232","title":["ニューラルインバースレンダリングによる位相シフト法を用いた運動物体の3次元計測の高精度化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2025-01-14"},"_buckets":{"deposit":"c50a1cab-4b28-4441-a559-3c4c27190081"},"_deposit":{"id":"242232","pid":{"type":"depid","value":"242232","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ニューラルインバースレンダリングによる位相シフト法を用いた運動物体の3次元計測の高精度化","author_link":["668545","668544"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルインバースレンダリングによる位相シフト法を用いた運動物体の3次元計測の高精度化"}]},"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":"東京科学大学"},{"subitem_text_value":"東京科学大学"}]},"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/242232/files/IPSJ-CVIM25240006.pdf","label":"IPSJ-CVIM25240006.pdf"},"date":[{"dateType":"Available","dateValue":"2027-01-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM25240006.pdf","filesize":[{"value":"8.5 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":"13cc4d9f-4eca-4f72-9d82-9be80b70041b","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":"浦川, 雄気"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 義浩"}],"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":"位相シフト法は構造化光法の一つで，カメラ1台・プロジェクタ1台と最小3枚の正弦波パターンで運動物体の相対位置を計測できる．さらに，複数台のカメラを用いることで，パターン数を増やさずに絶対位置を推定できる．一方，ニューラルインバースレンダリングの導入により，少ない構造化光法のパターンで高精度な計測を実現する手法が新たに提案された．しかし，同手法は物体の動きがレンダリングモデルに組み込まれておらず，運動物体の計測精度が低下する問題があった．また，カメラ1台・プロジェクタ1台を前提としており，位相シフト法に適用した場合，最小パターン数が4枚となる問題があった．そこで，運動物体の高精度な3次元計測に向けた位相シフト法のためのニューラルインバースレンダリングを提案する．具体的には，物体の動きを組み込んだ，カメラ複数台・プロジェクタ1台のレンダリングモデルを構築する．","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":"6","bibliographicVolumeNumber":"2025-CVIM-240"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":242232,"updated":"2025-01-19T07:23:28.346878+00:00","links":{},"created":"2025-01-19T01:47:19.041265+00:00"}