{"updated":"2025-01-22T06:29:44.201737+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00053058","sets":["1164:4619:4682:4686"]},"path":["4686"],"owner":"1","recid":"53058","title":["空間周波数に基づく顔器官の形状認識と再合成"],"pubdate":{"attribute_name":"公開日","attribute_value":"1998-03-19"},"_buckets":{"deposit":"41bfacab-079b-4f1e-804e-595f0387f7d4"},"_deposit":{"id":"53058","pid":{"type":"depid","value":"53058","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"空間周波数に基づく顔器官の形状認識と再合成","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"空間周波数に基づく顔器官の形状認識と再合成"},{"subitem_title":"Facial Expression Recognition and Re - synthesis Using Spatial Frequency","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"1998-03-19","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"成渓大学工学部"},{"subitem_text_value":"成渓大学工学部"},{"subitem_text_value":"成渓大学工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering, Seikei University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Seikei University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Seikei 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/53058/files/IPSJ-CVIM97110007.pdf"},"date":[{"dateType":"Available","dateValue":"2000-03-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM97110007.pdf","filesize":[{"value":"1.9 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":"14cf2aef-1c84-4676-9a8d-2a97afa5d502","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 1998 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"武藤淳一"},{"creatorName":"藤井, 英史"},{"creatorName":"森島, 繁生"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Jun-Ichi, Mutoh","creatorNameLang":"en"},{"creatorName":"Eishi, Fujii","creatorNameLang":"en"},{"creatorName":"Shigeo, Morishima","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"空間周波数成分を用いて顔表情の認識と再合成を実時間で行うシステムを提案する。画像から自動的にトラッキングされた目・口周辺の正方領域について、高速フーリエ変換を実時間で行い空間周波数成分を求める。次にこの帝域パワーから顔器官の形状、ここではFACSに基づくAUのパラメータ値をニューラルネットワークを用いて推定する。実際にこの推定結果から、顔表情を再合成して原画像との印象を比較した結果、学習には用いていない表情に対しても、原画像と類似した印象を再合成することが可能となった。これにより、瞬きや口の開き、目の開き工合などが忠実にトラッキングすることができる。したがって、マーカー等を顔面に添付することなく、非装着、非接着で表情の印象レベルでのモーションキャプチャを実現することが可能となった。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"A realtime facial expression recognition and re-synthesis system using spatial frequency is presented. Eye and mouth square region is automatically tracked in a camera captured face image. Spatial frequency is calculated by FFT in each square region. Each band power is given into neural network to decide a specific facial expression described by Action Unit values of FACS. By comparing original facial image with re-synthesized one, impression of both images are very similar. Also our system can generate face which is not included in training sequence and is very robust to the location of square region because we only use the envelope of spatial frequency.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"56","bibliographic_titles":[{"bibliographic_title":"情報処理学会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":"49","bibliographicIssueDates":{"bibliographicIssueDate":"1998-03-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"26(1997-CVIM-110)","bibliographicVolumeNumber":"1998"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:17:14.635889+00:00","id":53058,"links":{}}