{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00185477","sets":["1164:4619:9352:9359"]},"path":["9359"],"owner":"11","recid":"185477","title":["動画像中の顔追跡による3次元顔モデルの自動生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-01-11"},"_buckets":{"deposit":"b05dc836-70fa-49aa-b5a2-31224aabf4dd"},"_deposit":{"id":"185477","pid":{"type":"depid","value":"185477","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"動画像中の顔追跡による3次元顔モデルの自動生成","author_link":["412526","412524","412521","412522","412525","412523"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"動画像中の顔追跡による3次元顔モデルの自動生成"},{"subitem_title":"3D Face Tracking and Modeling from Face Image Sequence","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般セッション10","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-01-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"岡山大学大学院自然科学研究科"},{"subitem_text_value":"岡山大学大学院自然科学研究科"},{"subitem_text_value":"岡山大学大学院自然科学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computer Science, Okayama University","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Okayama University","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Okayama 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/185477/files/IPSJ-CVIM18210038.pdf","label":"IPSJ-CVIM18210038.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM18210038.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"4eebf439-fa9d-48b3-b476-c412c8e4b72e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG.\n"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"齋藤, 竜一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"右田, 剛史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"尺長, 健"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryuichi, Saito","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tsuyoshi, Migita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Shakunaga","creatorNameLang":"en"}],"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":"筒井ら [1] は，パーテイクルフィルタと Levenberg-Marquardt 法 [2] を組み合わせた顔 ・ 人物姿勢追跡法を提案をしている．この方法では，パーティクルフィルタにより選ばれた解候補を Levenberg-Marquardt 法によって最適化することにより実時間の追跡を実現している．その後，筒井ら [3] は更なる追跡精度の向上のため，姿勢推定に形状推定を加えた姿勢形状同時推定法を提案している．本稿ではこの方法を拡張して，より精度の高い形状を推定することを目的に，追跡した全フレームで共通の形状を用いて一括推定する方法を提案し，シミュレーション動画および実動画によって提案手法の有効性を示す．","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":"2018-01-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"38","bibliographicVolumeNumber":"2018-CVIM-210"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":185477,"updated":"2025-01-20T02:57:56.463171+00:00","links":{},"created":"2025-01-19T00:52:34.892371+00:00"}