{"id":11106,"updated":"2025-01-23T02:26:54.120694+00:00","links":{},"created":"2025-01-18T22:45:49.792202+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00011106","sets":["581:651:653"]},"path":["653"],"owner":"1","recid":"11106","title":["3次元形状・運動復元のための高速非線形最適化計算法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2003-11-15"},"_buckets":{"deposit":"60433567-006f-4193-8e33-f0f5b1507fae"},"_deposit":{"id":"11106","pid":{"type":"depid","value":"11106","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"3次元形状・運動復元のための高速非線形最適化計算法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"3次元形状・運動復元のための高速非線形最適化計算法"},{"subitem_title":"A Fast Nonlinear Optimization Algorithm for 3D Shape and Motion Recovery","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"論文","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2003-11-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"広島市立大学情報科学部知能情報システム工学科／現在，岡山大学工学部情報工学科"},{"subitem_text_value":"京都大学大学院情報学研究科システム科学専攻"},{"subitem_text_value":"広島市立大学情報科学部知能情報システム工学科"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Intelligent Systems, Hiroshima City University/Presently with Okayama University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Department of Intelligent Systems, Hiroshima City University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/11106/files/IPSJ-JNL4411036.pdf"},"date":[{"dateType":"Available","dateValue":"2005-11-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL4411036.pdf","filesize":[{"value":"334.1 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"0bb7a407-4064-4f87-9170-287ca22a5eee","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2003 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"右田, 剛史"},{"creatorName":"天野, 晃"},{"creatorName":"浅田, 尚紀"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tsuyoshi, Migita","creatorNameLang":"en"},{"creatorName":"Akira, Amano","creatorNameLang":"en"},{"creatorName":"Naoki, Asada","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","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_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"画像列から物体形状とカメラ運動を同時に復元するSfM は，非線形最適化問題として定式化できるが，安定化（局所解回避）と高速化（計算量低減）が大きな課題である．本論文では，非線形最適化アルゴリズムの1つである共役勾配法において，ヘッセ行列をブロック対角行列で近似した前処理行列を用いて計算量を低減する手法を提案する．シミュレーションおよび実画像の12種類のデータセットを用いた実験の結果，未知数が1 000個規模の問題に対して，従来のLevenberg-Marquardt法および共役勾配法の数倍から十数倍の高速化の効果を確認した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Simultaneous recovery of shape and motion from image sequences isformulated as a nonlinear optimization problem. This paper proposes afast algorithm named ``block diagonal matrix preconditioned conjugategradient method'' characterized by block diagnalized approximation ofHessian. Experimental results using real and synthetic image data haveshown that our algorithm reduces the calculation time by 80% to 95%compared with the Levenberg-Marquardt and conjugate gradient methods.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2872","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"2864","bibliographicIssueDates":{"bibliographicIssueDate":"2003-11-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"44"}]},"relation_version_is_last":true,"item_2_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"画像情報"}]},"weko_creator_id":"1"}}