{"created":"2023-05-15T12:35:54.787055+00:00","id":5021,"links":{},"metadata":{"_buckets":{"deposit":"02701cd4-d9d3-4aa4-b192-df06fa3fff81"},"_deposit":{"created_by":3,"id":"5021","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"5021"},"status":"published"},"_oai":{"id":"oai:nitech.repo.nii.ac.jp:00005021","sets":["31"]},"author_link":["8756","16650","4831","2925","15482"],"item_10001_biblio_info_28":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2001-12-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicPageEnd":"1641","bibliographicPageStart":"1633","bibliographicVolumeNumber":"E84-D","bibliographic_titles":[{"bibliographic_title":"IEICE transactions on information and systems"}]}]},"item_10001_description_36":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"This paper proposes a new method to recover the sign of local Gaussian curvature from multiple (more than three) shading images. The information required to recover the sign of Gaussian curvature is obtained by applying Principal Components Analysis (PCA) to the normalized irradiance measurements. The sign of the Gaussian curvature is recovered based on the relative orientation of measurements obtained on a local five point test pattern to those in the 2-D subspace called the eigen plane. Using multiple shading images gives a more accurate and robust result and minimizes the effect of shadows by allowing a larger area of the visible surface to be analyzed compared to methods using only three shading images. Furthermore, it allows the method to be applied to specular surfaces. Since PCA removes linear correlation among images, the method can produce results of high quality even when the light source directions are not widely dispersed.","subitem_description_type":"Other"}]},"item_10001_description_38":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10001_full_name_27":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{},{}],"names":[{"name":"舟橋, 健司"}]},{"nameIdentifiers":[{}],"names":[{"name":"岩田, 彰"}]}]},"item_10001_publisher_29":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Electronics, Information and Communication Engineers"}]},"item_10001_source_id_30":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09168532","subitem_source_identifier_type":"ISSN"}]},"item_10001_source_id_32":{"attribute_name":"書誌レコードID(NCID)","attribute_value_mlt":[{"subitem_source_identifier":"AA10826272","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_33":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Fukui, Shinji","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Iwahori, Yuji","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Woodham, Robert J.","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Funahashi, Kenji","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Iwata, Akira","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-01-25"}],"displaytype":"detail","filename":"E84-D_1633.pdf","filesize":[{"value":"3.9 MB"}],"format":"application/pdf","license_note":"Copyright(c)2001 IEICE http://search.ieice.org/index.html","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文_fulltext","url":"https://nitech.repo.nii.ac.jp/record/5021/files/E84-D_1633.pdf"},"version_id":"28f4394c-6265-408e-a97d-ad5ef1dd79b2"}]},"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":"Robust Method for Recovering Sign of Gaussian Curvature from Multiple Shading Images","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Robust Method for Recovering Sign of Gaussian Curvature from Multiple Shading Images","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"3","path":["31"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-06-25"},"publish_date":"2013-06-25","publish_status":"0","recid":"5021","relation_version_is_last":true,"title":["Robust Method for Recovering Sign of Gaussian Curvature from Multiple Shading Images"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-05-15T14:36:01.378078+00:00"}