{"id":94701,"updated":"2025-01-21T14:27:16.016074+00:00","links":{},"created":"2025-01-18T23:41:58.030452+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00094701","sets":["934:1162:7067"]},"path":["7067"],"owner":"11","recid":"94701","title":["A Weighted Integral Method for Parametrically Describing Local Image Appearance"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-07-29"},"_buckets":{"deposit":"b195d35f-bf2d-4042-8b26-9e5b9975a8d8"},"_deposit":{"id":"94701","pid":{"type":"depid","value":"94701","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"A Weighted Integral Method for Parametrically Describing Local Image Appearance","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Weighted Integral Method for Parametrically Describing Local Image Appearance"},{"subitem_title":"A Weighted Integral Method for Parametrically Describing Local Image Appearance","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[Regular Paper - Express Paper] feature description, parameter estimation problem, scale analysis, weighted integral method","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2013-07-29","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology"},{"subitem_text_value":"Nagoya Institute of Technology"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","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/94701/files/IPSJ-TCVA0500013.pdf"},"date":[{"dateType":"Available","dateValue":"2013-07-29"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCVA0500013.pdf","filesize":[{"value":"2.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4418cfc6-6ef2-4acb-9522-c80074e92cbc","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hidetoshi, Goto"},{"creatorName":"Hidekata, Hontani"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hidetoshi, Goto","creatorNameLang":"en"},{"creatorName":"Hidekata, Hontani","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"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":"1882-6695","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"We propose a new method that efficiently and accurately estimates the parameters of the Gaussian function that describes the given local image profiles. The Gaussian function is non-linear with respect to the parameters to be estimated, and this non-linearity makes their efficient and accurate estimation difficult. In our proposed method, the weighted integral method is introduced to linearize the parameter estimation problem: A system of differential equations is firstly derived that is satisfied by the Gaussian function and that is linear with respect to the parameters. The system is then converted to that of integral equations. Given a local sub-window of the image, one can obtain the system of integral equations and estimate the parameters of the Gaussian that describe the appearance in the sub-window by solving the linear system of the parameters. Experimental results showed that our proposed method estimates the parameters more efficiently and accurately than existing state-of-the-art methods.","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a new method that efficiently and accurately estimates the parameters of the Gaussian function that describes the given local image profiles. The Gaussian function is non-linear with respect to the parameters to be estimated, and this non-linearity makes their efficient and accurate estimation difficult. In our proposed method, the weighted integral method is introduced to linearize the parameter estimation problem: A system of differential equations is firstly derived that is satisfied by the Gaussian function and that is linear with respect to the parameters. The system is then converted to that of integral equations. Given a local sub-window of the image, one can obtain the system of integral equations and estimate the parameters of the Gaussian that describe the appearance in the sub-window by solving the linear system of the parameters. Experimental results showed that our proposed method estimates the parameters more efficiently and accurately than existing state-of-the-art methods.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"74","bibliographic_titles":[{"bibliographic_title":"IPSJ Transactions on Computer Vision and Applications （CVA）"}],"bibliographicPageStart":"70","bibliographicIssueDates":{"bibliographicIssueDate":"2013-07-29","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"5"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}