{"created":"2021-03-01T06:05:38.267756+00:00","id":1952,"links":{},"metadata":{"_buckets":{"deposit":"eb06767a-bb3c-4bbe-ba6b-b13b5700b12c"},"_deposit":{"id":"1952","owners":[],"pid":{"revision_id":0,"type":"depid","value":"1952"},"status":"published"},"_oai":{"id":"oai:niigata-u.repo.nii.ac.jp:00001952","sets":["423:424:425","453:454"]},"item_5_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2003-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"985","bibliographicPageStart":"981","bibliographicVolumeNumber":"E86-D","bibliographic_titles":[{"bibliographic_title":"IEICE transactions on information and systems"},{"bibliographic_title":"IEICE transactions on information and systems","bibliographic_titleLang":"en"}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"We propose a method for camera calibration based on image registration. This method registers two images; one is a real image captured by a camera with a calibration object with known shape and texture, and the other is a synthetic image containing the object. The proposed method estimates the parameters of the rotation and translation of the object by using the depth imformation of the synthetic image. The Gauss-Newton method is used to minimize the residuals of intensities of the two images. The proposed method does not depend on initial values of the minimization, and is applicable to images with much noise. Experimental results using real images demonstrate the robustness against initial state and noise on the image.","subitem_description_type":"Abstract"}]},"item_5_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"電子情報通信学会"}]},"item_5_relation_31":{"attribute_name":"異版である","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"http://ci.nii.ac.jp/naid/110003213753","subitem_relation_type_select":"URI"}}]},"item_5_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (C) 2003 IEICE"},{"subitem_rights":"本文データは学協会の許諾に基づきCiNiiから複製したものである"}]},"item_5_select_19":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_5_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA10826272","subitem_source_identifier_type":"NCID"}]},"item_5_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09168532","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tamaki, Toru"}],"nameIdentifiers":[{"nameIdentifier":"6367","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yamamoto, Masanobu"}],"nameIdentifiers":[{"nameIdentifier":"6368","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-07-29"}],"displaytype":"detail","filename":"110003213753.pdf","filesize":[{"value":"824.9 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"110003213753.pdf","url":"https://niigata-u.repo.nii.ac.jp/record/1952/files/110003213753.pdf"},"version_id":"0a5272ae-0d82-4628-b888-0335f9ca57c8"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"camera calibration","subitem_subject_scheme":"Other"},{"subitem_subject":"liver cirrhosis","subitem_subject_scheme":"Other"},{"subitem_subject":"Gauss-Newton method","subitem_subject_scheme":"Other"},{"subitem_subject":"Tsai's method","subitem_subject_scheme":"Other"},{"subitem_subject":"z buffer","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Calibration method by image registration with synthetic image of 3D model","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Calibration method by image registration with synthetic image of 3D model"},{"subitem_title":"Calibration method by image registration with synthetic image of 3D model","subitem_title_language":"en"}]},"item_type_id":"5","owner":"1","path":["454","425"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-02-25"},"publish_date":"2014-02-25","publish_status":"0","recid":"1952","relation_version_is_last":true,"title":["Calibration method by image registration with synthetic image of 3D model"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-15T03:34:45.753277+00:00"}