{"created":"2025-01-18T22:50:47.530296+00:00","updated":"2025-01-22T23:04:10.189601+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00017921","sets":["934:1085:1086:1089"]},"path":["1089"],"owner":"1","recid":"17921","title":["手指ジェスチャの画像計測手法とその応用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-06-26"},"_buckets":{"deposit":"207d0361-b858-471c-a77b-403c62119c36"},"_deposit":{"id":"17921","pid":{"type":"depid","value":"17921","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"手指ジェスチャの画像計測手法とその応用","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"手指ジェスチャの画像計測手法とその応用"},{"subitem_title":"Image-based Measurement of Hand Gesture and Its Applications","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"総合論文（招待）","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2008-06-26","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"立命館大学情報理工学部知能情報学科"},{"subitem_text_value":"立命館大学情報理工学部知能情報学科"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Human and Computer Intelligence, Ritsumeikan University","subitem_text_language":"en"},{"subitem_text_value":"Department of Human and Computer Intelligence, Ritsumeikan 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/17921/files/IPSJ-TCVIM0101006.pdf"},"date":[{"dateType":"Available","dateValue":"2010-06-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCVIM0101006.pdf","filesize":[{"value":"960.3 kB"}],"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":"abe3aafe-796a-4393-b0d0-0b9455ba18b7","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"島田, 伸敬"},{"creatorName":"白井, 良明"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nobutaka, Shimada","creatorNameLang":"en"},{"creatorName":"Yoshiaki, Shirai","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11560603","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7810","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"人間の体は多関節構造物として非常に複雑な物体であり，その形状や姿勢を画像列から非接触に計測することは，長年コンピュータビジョンの分野におけるチャレンジングな課題となっている．本論文では，著者らのグループでこれまでに研究してきた画像列から手指形状を計測する手法について述べる．三次元形状モデルを画像に照合する手法と，画像の見えを記録しておいて照合する方法，さらに複雑背景下で領域抽出と照合を行う手法を紹介する．またこれらの手法を応用した手話認識技術もあわせて述べる．","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Since the human body has the highly articulated structure, it has been a challenging problem in the computer vision field to estimate its posture from an image sequence in a touchless way. This paper introduces the 3-D hand posture estimation methods using image sequence which the authors have been developing. The methods are diveided into two major categories: one is the appearance-based method and the other is the 3-D-shape-model-based method, which can be suitably selected according to applications. The paper also introduces their applications to sign language recogntion.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"63","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"53","bibliographicIssueDates":{"bibliographicIssueDate":"2008-06-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"1"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":17921,"links":{}}