{"created":"2025-01-19T01:29:26.690623+00:00","updated":"2025-01-19T11:20:37.843033+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229967","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"229967","title":["掌画像の局所特徴量を用いた非剛体の物体照合"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"7cc049b9-8ff5-4fc0-8aba-bfe1717aa16e"},"_deposit":{"id":"229967","pid":{"type":"depid","value":"229967","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"掌画像の局所特徴量を用いた非剛体の物体照合","author_link":["618669","618668"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"掌画像の局所特徴量を用いた非剛体の物体照合"}]},"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":"2023-02-16","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":"法大"},{"subitem_text_value":"法大"}]},"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/229967/files/IPSJ-Z85-5R-04.pdf","label":"IPSJ-Z85-5R-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5R-04.pdf","filesize":[{"value":"332.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"46f7c14d-4458-4759-a315-047c8c62d96e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐久間, 実花"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤田, 悟"}],"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":"物体を識別する代表的な手法として，画像特徴量を用いたマッチング手法がある．比較画像間の対応点の幾何学的整合性を取るため，RANSACアルゴリズムを適用して射影変換行列を推測し，矛盾のない対応点の抽出を行う．掌画像で照合を行う場合，弱く似た微細な特徴が多く存在していること，立体形状の変化による複雑な歪みがあることにより，整合性の取れる対応点を抽出することが困難とされる．本論文では，特徴点検出，特徴量抽出，マッチングについてニューラルネットワークを用いて設計する．畳み込み演算を用いて弱い特徴を強く検出し，平面歪みに対応したマッチング手法により，非剛体の物体照合手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"340","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"339","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229967,"links":{}}