{"id":88206,"updated":"2025-01-21T16:05:22.493644+00:00","links":{},"created":"2025-01-18T23:38:38.868582+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00088206","sets":["1164:4619:6988:6990"]},"path":["6990"],"owner":"11","recid":"88206","title":["距離・画像センサを利用した３次元顔追跡・認識融合"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-01-16"},"_buckets":{"deposit":"187e362b-0010-4a0e-aef2-d1799d4015cf"},"_deposit":{"id":"88206","pid":{"type":"depid","value":"88206","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"距離・画像センサを利用した３次元顔追跡・認識融合","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"距離・画像センサを利用した３次元顔追跡・認識融合"},{"subitem_title":"3d face tracking and recognition for depth-image sensor","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2013-01-16","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"},{"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"},{"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":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/88206/files/IPSJ-CVIM13185031.pdf","label":"IPSJ-CVIM13185031"},"date":[{"dateType":"Available","dateValue":"2100-01-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM13185031.pdf","filesize":[{"value":"2.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"0eac05ff-71cd-4856-8f94-524a4a3fa9de","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Institute of Electronics, Information and Communication Engineers\nThis SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"片山, 聡一朗"},{"creatorName":"中岸, 久佳"},{"creatorName":"右田, 剛史"},{"creatorName":"尺長, 健"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Soichiro, Katayama","creatorNameLang":"en"},{"creatorName":"Hisayoshi, Chugan","creatorNameLang":"en"},{"creatorName":"Tsuyoshi, Migita","creatorNameLang":"en"},{"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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"我々はこれまでに，動画像中の顔を対象として，拡張固有空間を用いた追跡・認識融合系を提案し，その改良を行ってきた一方，動画像と同時に距離情報を利用できる距離・画像センサが広く普及しつつあり，画像情報だけでは難しいタスクが容易に解決できる可能性が出てきた．本稿では，拡張固有空間を用いた追跡・認識融合系を距離・画像センサに適用することにより，追跡の安定化や認識性能の向上が可能であるかどうかを実験によって検証した結果を述べる．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper discusses on face tracking and recognition when depth-image sensor is available. For the purpose, our image based approach is extended for covering depth sensor. Experimental results on real depth-image sequences show the effectiveness of the proposed method.","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":"2013-01-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"31","bibliographicVolumeNumber":"2013-CVIM-185"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}