{"links":{},"id":17934,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00017934","sets":["934:1085:1090:1091"]},"path":["1091"],"owner":"1","recid":"17934","title":["Fast Projective Reconstruction: Toward Ultimate Efficiency"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-03-15"},"_buckets":{"deposit":"f246d1a9-ce68-4524-be14-e39be2e06afc"},"_deposit":{"id":"17934","pid":{"type":"depid","value":"17934","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"Fast Projective Reconstruction: Toward Ultimate Efficiency","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fast Projective Reconstruction: Toward Ultimate Efficiency"},{"subitem_title":"Fast Projective Reconstruction: Toward Ultimate Efficiency","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"研究論文（推薦）","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2008-03-15","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Okayama University"},{"subitem_text_value":"Okayama University"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Okayama University","subitem_text_language":"en"},{"subitem_text_value":"Okayama University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/17934/files/IPSJ-TCVIM4906009.pdf"},"date":[{"dateType":"Available","dateValue":"2010-03-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCVIM4906009.pdf","filesize":[{"value":"1.0 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":"c35f6153-115a-4674-831f-f74533c554ca","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":"Hanno, Ackermann"},{"creatorName":"Kenichi, Kanatani"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hanno, Ackermann","creatorNameLang":"en"},{"creatorName":"Kenichi, Kanatani","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":"We accelerate the time-consuming iterations for projective reconstruction  a key component of self-calibration for computing 3-D shapes from feature point tracking over a video sequence.We first summarize the algorithms of the primal and dual methods for projective reconstruction.Then  we replace the eigenvalue computation in each step by the power method. We also accelerate the power method itself. Furthermore  we introduce the SOR method for accelerating the subspace fitting involved in the iterations. Using simulated and real video images we demonstrate that the computation sometimes becomes several thousand times faster.","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We accelerate the time-consuming iterations for projective reconstruction, a key component of self-calibration for computing 3-D shapes from feature point tracking over a video sequence.We first summarize the algorithms of the primal and dual methods for projective reconstruction.Then, we replace the eigenvalue computation in each step by the power method. We also accelerate the power method itself. Furthermore, we introduce the SOR method for accelerating the subspace fitting involved in the iterations. Using simulated and real video images,we demonstrate that the computation sometimes becomes several thousand times faster.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"78","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":"68","bibliographicIssueDates":{"bibliographicIssueDate":"2008-03-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"SIG6(CVIM20)","bibliographicVolumeNumber":"49"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T22:50:48.100609+00:00","updated":"2025-01-22T23:03:55.557815+00:00"}